Job intelligence
Senior Data Engineer - Hybrid
Konfidentiellt
Before relying on the listing: Confirm Compensation with the employer or source. See verification questions
Executive opportunity brief
The decision in one screen
A compact evidence-first read of compensation, flexibility, mobility and what still needs verification. No universal quality score is used.
Fast read
Opportunity DNA
The strongest upside: the application route looks comparatively direct. The main trade-off: the pay picture is incomplete.
A financial comparison will need the approved compensation range.
Regular physical-location attendance is part of the advertised arrangement.
The listing does not make the minimum education or experience threshold clear enough yet.
Sponsorship and relocation support are not clear from the current listing.
The current application destination does not use HTTPS. Verify the destination carefully before submitting personal information.
At least one recent enabled source can still renew this vacancy.
This fingerprint summarizes what is clear, constrained or still unanswered in the current listing. It is a reading aid, not an overall job score.
Decision evidence check
4 of 5 core facts stated
This checks whether the listing states the facts that commonly change an employment decision. It measures disclosure completeness, not whether the opportunity is good or bad.
Facts already stated
- Work arrangement
- Location eligibility
- Application closing time
- Employment type
What to verify next
- Compensation: What is the approved compensation range, and what portion is guaranteed base pay rather than variable compensation?
Unknown information is never converted into a negative score. The questions above exist to prevent missing evidence from being mistaken for a favorable term.
Decision levers
What could make or break the fit?
Reasons to look closer
- The application route looks comparatively direct: The primary route points through an employer, an employer-authorized hiring source or an official employment source, and no extra mandatory step is stated in the listing text.
Trade-offs to weigh
- The pay picture is incomplete: No usable salary range is stated, so a meaningful financial comparison is not possible yet.
- Location rules could change the fit: Regular physical-location attendance is part of the advertised arrangement.
- The application destination needs extra verification: The current application destination does not use HTTPS. Verify the destination carefully before submitting personal information.
Questions worth asking before you invest more time
- Ask for the approved compensation range before comparing this opportunity financially.
- Confirm whether a degree is actually required, preferred, or replaceable with equivalent experience.
- Confirm the actual minimum experience requirement rather than assuming preferred background is mandatory.
- Ask whether visa sponsorship is available before investing significant time in the application.
These questions come from details the listing leaves open. An unanswered point is not treated as a disadvantage.
Opportunity neighborhood
Keep your options open
These live roles sit close enough to this opportunity to make useful comparison points. Look across several employers before deciding what pay, flexibility or access trade-offs you are willing to accept.
Senior Data Scientist
Carwow · London
Why it is nearby: Same seniority band · Similar work arrangement · Same employment type
Senior Data Analyst - Strategy & Commercial
Backmarket · Paris
Why it is nearby: Same seniority band · Similar work arrangement · Same employment type
Senior Data Engineer (f/m/d)
Liqid Lig · Berlin
Why it is nearby: Same seniority band · Similar work arrangement · Same employment type
Experienced/Senior Machine Learning Engineer - Squad Distribute
Doctrine · Paris
Why it is nearby: Same seniority band · Similar work arrangement · Same employment type
This neighborhood is drawn from current inventory in the same broad occupation. Similarity is based on explicit listing facts; missing details do not count against a job.
Role market context
How much current choice is visible around this kind of work?
This compares the vacancy with current High Paid Job inventory in the broad Data & AI roles family. It describes visible choice and disclosure, not future demand or career quality.
200 most recent current roles sampled for the disclosure measures below.
Distinct employers in the bounded current sample, not an estimate of all employers hiring in the market.
Current sampled roles stating at least four of the five Core Decision Facts.
Requires a numeric amount, explicit ISO currency and supported pay period.
Listings with explicit enough remote, hybrid or on-site evidence to classify.
Missing deadline evidence remains unknown and is not interpreted as an open-ended application window.
Currencies with explicit pay evidence in the sample: USD (24) · EUR (12) · GBP (4) · CAD (2). Raw amounts across different currencies are not compared.
This describes current visible High Paid Job inventory in the same broad occupation family. Percentages use a bounded recent sample and are not a forecast, a complete labor-market census or an employer-quality measure.
Constraint opportunity lab
What changes the size of the current opportunity pool?
Each line applies one stricter evidence-based constraint to the same bounded current role-family sample. It helps you see the trade-off in visible choice without deciding which trade-off is right for you.
Counts only affirmative or possible sponsorship evidence, or relocation explicitly offered. Unknown is not treated as no.
A much stricter subset: only listings with explicit worldwide-remote evidence remain.
Uses only roles where a country is known. Roles without country evidence are excluded from this denominator.
Shows the subset with enough stated evidence for a more informed first comparison.
Requires amount, explicit ISO currency and a supported pay period. Missing pay evidence remains unknown.
Counts roles explicitly classified as worldwide remote, region-restricted remote or remote with restrictions still unclear.
Uses only roles with a stated employment type.
Includes roles whose seniority is genuinely unspecified rather than assuming they belong to another level.
These are counterfactual filters over a bounded sample of current HPJ inventory in the same broad occupation family. They show how visible choice changes when one evidence-based constraint is applied; they do not tell you which constraint you should choose or predict hiring outcomes. The calculation uses the 200 most recent current roles from 1070 visible roles in this broad family.
Salary transparency context
Is pay disclosure typical for this kind of role?
This listing does not state usable structured compensation. About 22% of the bounded current role sample does.
Compensation counts only when amount, ISO currency and supported pay period are all known.
Pay disclosure is uncommon in the current role sample.
This employer’s current visible listings disclose pay materially less often than the current same-role sample.
This compares salary-disclosure behavior in current visible listings. It does not compare raw salary amounts across currencies, infer undisclosed pay as zero, or rate employer quality.
Private offer & negotiation lab
Turn an offer into evidence, not guesswork
Enter an annual base offer and, if you want, your own target. HPJ compares only within one explicit currency and never chooses a target for you.
Negotiation evidence available: current same-currency market context, strong decision evidence.
Enter an annual base offer to compare it with explicit same-currency evidence. HPJ will not suggest a target for you.
Review the full package · 10 terms
Mark what is confirmed, what needs clarification and what you want to prioritize. These choices and notes stay in this browser.
The approved base-pay range is not established in the listing.
Variable compensation is mentioned; verify amount, formula, target and eligibility.
Equity or long-term incentive language is mentioned; verify grant type, vesting and valuation basis.
Retirement or pension benefits are mentioned; verify employer contribution and vesting.
Health-benefit language is mentioned; verify coverage, dependants and employee cost.
Paid-leave language is mentioned; verify the exact entitlement and carry-over rules.
A work-arrangement signal is available; verify schedule details before relying on it.
Relocation support not established
Sponsorship not established
A review cycle is mentioned; verify timing and whether compensation can change at that review.
Questions worth taking into the offer conversation
- What is the approved base-pay range for this role?
- Does the package include equity or another long-term incentive, and what are the vesting terms?
- What health coverage is included and what costs remain with the employee?
- How much paid leave is provided and what are the carry-over or blackout rules?
- If relocation is relevant, what expenses, timing and repayment conditions are covered?
- What exact sponsorship or work-authorization conditions apply to this role?
- When is the first performance and compensation review after joining?
- What is the approved compensation range, and what portion is guaranteed base pay rather than variable compensation?
Occupation intelligence
What broader career references connect to this role?
HPJ uses broad comparison families for current-market analysis. External taxonomy results are reference candidates for that broad family, not a declaration that this vacancy has been authoritatively classified into a specific occupation.
European occupation references
This service uses the ESCO classification of the European Commission.
U.S. occupation references
- Data Scientists 15-2051.00
- Computer and Information Research Scientists 15-1221.00
- Social Science Research Assistants 19-4061.00
- Atmospheric and Space Scientists 19-2021.00
- Bioinformatics Scientists 19-1029.01
This site incorporates information from O*NET Web Services by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). O*NET® is a trademark of USDOL/ETA.
Career reference research
Skills worth investigating
Official occupational context, paired with exact phrases visible in this vacancy. It is not a skills test or an applicant-fit score.
ESCO · European occupation
data scientist
Usually essential in this ESCO occupation
- statistical modeling techniques
- perform project management
- query languages
- online analytical processing
- develop data processing applications
- data engineering
- manage data collection systems
Context-dependent ESCO skills
- manage ICT data architecture
- SPARQL
- use spreadsheets software
- computational biology
- state estimation
O*NET · U.S. occupation
Data Scientists
O*NET occupation skills
- Mathematics
- Critical Thinking
- Reading Comprehension
- Complex Problem Solving
- Programming
- Active Learning
- Speaking
- Active Listening
Build my private skill preparation brief Your evidence · Practice · Interview questions
Plan how you might demonstrate or investigate occupational skills. These are broad-family reference examples, not confirmed vacancy requirements. Nothing you enter is sent to High Paid Job.
Private to this browser. Up to 20 reference skills; not a qualification assessment or hiring prediction.
Useful next question: Which of these occupational reference skills does the hiring manager actually expect for this specific role, and what evidence would demonstrate them?
These skills belong to one reference occupation selected for HPJ’s broad career family, not a verified classification of this vacancy. Text overlap only means a phrase appears in the available listing text; it does not establish an employer requirement, your proficiency, or a qualification gap. A missing mention is unknown, not a deficit.
Adjacent current roles to investigate
Senior QA/Test Engineer Embedded Systems Malmö
NDP IT AB · MALMÖ, Skåne län, Sverige
same stated country · same seniority band · same employment typeProduction Test Engineer Helsingborg
NDP IT AB · HELSINGBORG, Skåne län, Sverige
same stated country · same employment type · similar work-arrangement evidenceJunior Frontend Developer
Distans · Sverige
same stated country · same employment type · similar work-arrangement evidenceAdjacent-family roles are exploration prompts from current HPJ inventory. They are not inferred qualification matches and they do not imply a promotion path.
Career move map
What sits one step away?
This listing is currently read as Senior / lead. Nearby roles one visible seniority step away can help you judge whether to widen the search, stretch upward or compare the responsibilities more carefully.
Broader-entry direction
Data Scientist: Product
Thatch · Remote — Worldwide
USD 160,000–230,000 / year Same employment type · Recently postedData Engineer Analyst
Blend360 · Remote — Worldwide
Same employment type · Recently postedStretch direction
Data and AI Engineer Director | Market Lead
thoughtworks · London
Similar work arrangement · Recently postedDirector of Product, Machine Learning & Decisioning Platforms
Upstart · Canada, USA
USD 216,100–299,000 / year Same employment type · Recently postedThese are live roles one visible seniority step away in the same broad occupation family. They can reveal nearby options, but they are not a guaranteed promotion path and do not account for your personal experience.
Skill bridge
What does this role connect to?
Databricks is one of the signals this listing shares with skills appearing often across current Data & AI roles opportunities.
Skills named in this listing
Shared with the current career sample
- Databricks Seen in 19 sampled listings
- Python Seen in 89 sampled listings
- SQL Seen in 79 sampled listings
Combinations also appearing together
- Python + SQL appeared together in 63 sampled listings
Additional signals in this listing: Apache Spark
Application edge
- If these skills match your background, prepare one concrete example that shows how you used Apache Spark, Databricks, and Python rather than relying on a keyword-only claim.
If the named skills are genuinely transferable in your own experience, the occupation map also points to adjacent current families worth researching: Software engineering roles and Product roles. This is exploration context, not a qualification match.
Skill signals come from explicit text mentions. A mention is not automatically a requirement, and absence from the current top-skill list does not make a skill rare or unimportant. The current career comparison draws on 120 sampled listings; 115 contain a recognized skill signal.
Application Decision Lab
Turn the listing into a preparation plan
Separate what the listing actually states from what you still need to prepare or verify. Your selections and short notes stay in this browser and are never submitted to High Paid Job.
Apache Spark
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Databricks
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Python
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
SQL
This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.
Questions worth resolving before you rely on the opportunity
- Compensation: What is the approved compensation range, and what portion is guaranteed base pay rather than variable compensation?
- Work authorization / sponsorship: If sponsorship or work authorization matters to you, what exact immigration or employer-sponsorship conditions apply to this role?
- Application process: What interview, assessment, portfolio, reference or screening stages are part of the hiring process?
Decision analysis
What the listing really tells you
For Senior Data Engineer - Hybrid at Konfidentiellt, the most useful clues right now are remote flexibility can be weighed properly, the application route gives a few useful clues, and source continuity adds useful context. Looking at them together makes the trade-offs easier to see.
Remote flexibility can be weighed properly
The work-location pattern is “Primarily location-bound”, with Remote Freedom at 18/100. The most important location constraint is regular physical-location attendance is part of the advertised arrangement..
The application route gives a few useful clues
More direct application path. The external application may contain additional steps that are not visible from the listing itself.
Source continuity adds useful context
1 recent enabled source can currently renew this vacancy across 1 source classes. That improves traceability, although it does not verify the employer itself.
How this analysis is assembled
The brief pulls together the parts of the vacancy that can be compared reliably today. Gaps in the listing remain visible instead of being filled with assumptions.
Analysis evidence coverage
How much analysis can the current evidence support?
Comparable salary data is not available for this job yet.
Measures observable location flexibility and explicit restrictions; it does not determine whether remote work is personally desirable.
Missing compensation is not treated as negative evidence; this dimension simply remains unavailable.
The source posting date is today.
The vacancy has recent enabled provenance through a comparatively direct source lane. This strengthens traceability, not employer verification.
There is no universal opportunity score because pay, flexibility and access matter differently to different people. Compare Jobs lets you weight the evidence around your own priorities.
Decision checklist
What is supported, uncertain or worth checking?
This checklist separates supported strengths, visible cautions and missing evidence. It is not an overall recommendation or guarantee that the job is suitable for you.
Supported strengths
- Recent provenance includes a comparatively direct source lane, improving traceability.
- The current provenance provides a comparatively direct application route.
Visible cautions
- Regular physical-location attendance is part of the advertised arrangement.
- The available application destination uses unencrypted HTTP rather than HTTPS.
- The current application destination does not use HTTPS. Verify the destination carefully before submitting personal information.
Still unknown
- There is not enough comparable salary evidence to establish this job’s current pay position.
- Visa sponsorship is not established by the available listing data.
Pay vs. barriers
Opportunity Efficiency not assessed
The current pay position is not reliable enough to weigh compensation against the stated barriers.
1 explicit Remote Freedom restriction signal is present and is shown separately from qualification requirements.
- Current comparable pay position is unavailable.
- Education requirement is not established.
- Required prior-experience level is not established.
This section weighs pay context against clearly stated barriers without collapsing unlike requirements into one universal score. Degree, experience, licensing, clearance and location limits remain separate, and missing qualification details stay unknown.
Beyond the headline
Not enough evidence for a hidden-value finding
Potential hidden value appears only when several distinct non-pay advantages are actually supported. Missing requirements or benefits are never counted as positives.
Hidden Value is an experimental evidence summary, not an investment-style score or guarantee of employability. It only uses explicit current listing evidence and does not infer that an unmentioned qualification is unnecessary.
Compensation intelligence
How competitive is this pay?
Comparable salary data is not available for this job yet.
Why this analysis?
- Comparable salary data is not available for this job yet.
- Salary confidence: Not available. No disclosed salary can currently be normalized for comparison. Missing compensation is not treated as low-quality salary evidence.
- Range quality: No disclosed range.
Employer compensation communication
Pay transparency at Konfidentiellt
Limited current pay transparency
This score uses the employer’s current visible listings and combines how often pay is disclosed with how useful those ranges are. Bonus, equity and benefit mentions are shown separately and do not raise the score.
This pattern comes from the employer’s current visible vacancies. It describes hiring and pay transparency in those listings, not employee satisfaction or a permanent judgement of the employer.
Current employer intelligence
Konfidentiellt — current opportunity snapshot
Employer Evidence Profile
How often this employer’s current visible sampled vacancies state decision-critical information. These percentages describe evidence coverage, not employer quality.
Current sampled listings with advertised compensation evidence.
Current sampled listings whose work arrangement is clearer than unknown.
Current sampled listings with a supported country signal.
Current sampled listings with an explicit closing time.
Current sampled listings with a usable posting date.
Current sampled listings that explicitly indicate confirmed, possible or unavailable sponsorship evidence.
Current sampled listings with an explicit relocation signal.
Low coverage means the current visible listings state the information less often. It does not prove that the employer lacks the policy, benefit or support.
Common current occupation families: Data & AI (3) · Finance Accounting (2) · Cybersecurity (2)
Visible seniority mix: Senior / lead (1) · Leadership (1)
Current employment-type mix: Full time (21)
Most visible hiring countries in this sample: Sweden (21)
Other current roles from this employer
Teknisk Produktägare - Operational Planning Stockholm/Göteborg
Göteborg, Västra Götalands län, Sverige
Seniority not clearly specified · On-site / hybridTeknisk Produktägare Integration & Automation
Göteborg, Västra Götalands län, Sverige
Seniority not clearly specified · On-site / hybridLösningsarkitekt - Finance & Operations Göteborg
Göteborg, Västra Götalands län, Sverige
Seniority not clearly specified · On-site / hybridTeknisk Produktägare - Finance & Operations Stockholm/Göteborg
Göteborg, Västra Götalands län, Sverige
Seniority not clearly specified · On-site / hybridThese are other current vacancies visible from the same employer, not endorsements or evidence of future hiring plans.
There are not yet five current disclosed salaries in one currency, so an employer pay median would be too thin to be useful.
Questions worth asking this employer
- What compensation range applies to this role, and which parts of total compensation are fixed versus variable?
- If work authorization matters to you, what sponsorship policy applies to this specific role and location?
- If a move is required, is relocation assistance available for this position?
These questions are prompted by missing or thin evidence in the employer’s current visible vacancies. Missing evidence is not treated as a negative judgement.
This employer snapshot uses the employer’s current visible listings. Remote and sponsorship rates use only vacancies with explicit evidence, while missing information stays unknown. Salary medians are shown separately by currency and need at least five disclosed salaries. Zero confirmed sponsorship means none was explicitly found in this sample, not that sponsorship is unavailable.
This snapshot describes the employer’s current visible vacancies—things such as pay disclosure and work arrangement. It is not an employee-satisfaction or hiring-quality rating, and different currencies stay separate.
Work-location intelligence
Remote Freedom
Primarily location-bound
Why this score?
- The listing is on-site or hybrid rather than location independent.
Location restrictions detected
- Regular physical-location attendance is part of the advertised arrangement.
Remote Freedom measures observable location flexibility only. Unknown work-location information remains unscored. Timezone wording is penalized only when it appears restrictive; general collaboration across time zones is not treated as a restriction. A score does not guarantee legal work eligibility, payroll availability or visa sponsorship.
International applicant intelligence
Visa & relocation signals
Sponsorship status is shown only when the listing provides clear enough wording. Employer history or headquarters location is not used to guess an answer.
The available listing details do not contain a clear enough sponsorship statement.
The available listing details do not contain a clear enough relocation statement.
Tradeoff check
What’s the catch?
No obvious trade-off appears in the available job details. That does not mean the role has no drawbacks, so the original listing and employment terms are still worth reading carefully.
Application-path intelligence
What can we see about the application process?
More direct application path
The primary route is a direct-employer, employer-authorized hiring or official government source. That can reduce intermediary steps, although the external form may still be lengthy.
Current destination: www.houseofrecruitment.se · Not HTTPS
No additional required application step is clear in the available listing text. This does not mean the external application is one-click or friction-free.
- The current application destination does not use HTTPS. Verify the destination carefully before submitting personal information.
Application effort is estimated from visible listing and source details. Optional steps are kept separate from mandatory ones, and the external form may contain additional requirements that are not visible here.
Application safety context
Application safety check
Potential Risk Signals Detected
One or more observable signals deserve extra verification before you provide money or sensitive information. These signals are not proof of fraud.
Evidence checked: Source provenance · Application destination · Listing wording
Signals to verify carefully
- The available application destination uses unencrypted HTTP rather than HTTPS.
Before you share money or sensitive information
- Confirm the vacancy on the employer’s official careers site when practical, especially if a recruiter contacts you outside the listed application path.
- Check that recruiter email domains and application destinations are consistent with the employer or an identifiable recruiting provider.
- Do not pay application, processing, training or equipment fees merely to be considered for a job.
- Do not send cryptocurrency, gift cards, online-banking credentials or PINs as part of an application.
- Treat unusually fast offers or interviews conducted only through informal messaging channels as reasons to verify the employer independently.
This is a limited safety screen, not employer verification and not a fraud determination. Never send money, cryptocurrency, passwords or sensitive banking credentials merely because a listing appears on a job platform.
Original listing details
The section below comes from the listing source. The decision sections above use the job’s structured pay, location, qualification, mobility and application details to give you additional context.
Data Engineer – Hybrid, Stockholm
När AI-agenter snabbt kan skriva kod och sätta upp pipelines, blir det mänskliga hantverket med djup förståelse för datamodellering, kvalitet och säkerhet viktigare än någonsin – allt det som krävs för att data ska kunna omvandlas till affärsnytta.
Vem är du?
Vi söker dig som har minst fem års erfarenhet som data engineer eller backendutvecklare efter avslutad examen och som vill fortsätta utvecklas inom dataområdet.
Vi tror att du har en ingenjörsutbildning eller en examen inom data- eller systemvetenskap. Kanske har du glömt en del av kurserna, men du minns tydligt att programmering och att utforska data var det roligaste under studietiden.
För att trivas hos oss tror vi att du:
- Är kvalitetsmedveten: Du vet att analys och AI-modeller aldrig blir bättre än kvaliteten på den data de bygger på. Du förstår att AI kan producera kod snabbt, men att det krävs kunskap för att avgöra om koden är säker, skalbar och förvaltningsbar. Du är filtret mot ‘slop’.
- Har teknisk bredd: Du känner dig trygg i språk som Python och SQL. Du har byggt data pipelines, kanske har du redan arbetat med plattformar som Microsoft Fabric, Databricks eller open source-verktyg som Apache Spark och dbt, eller är nyfiken på att fördjupa dina kunskaper inom dessa.
- Är nyfiken på AI: Du ser moderna “coding agents” som verktyg för att jobba smartare, inte som en ersättning för ditt eget tänkande. Om du dessutom har implementerat MCP-servrar eller RAG-lösningar är det en bonus.
- Värdesätter lärande: Du delar kunskap lika självklart som man delar en kaffe.
Uppdraget?
Vi bygger stabilt och långsiktigt. Vi jagar inte kortsiktigt sälj, utan arbetar utifrån kundens faktiska behov.
Som konsult får du ansvar och frihet. Du kommer att arbeta i uppdrag där vi ligger i framkant, men där din uppgift är att säkerställa verklig nytta och teknisk höjd. Du blir bryggan mellan teknik och hållbara system.
Vad vi erbjuder
Detta är en chans att vara med och påverka kulturen i ett tidigt skede, utan osäkerheten som ofta finns i startups.
- Trygghet i ryggen: Grundarna är erfarna bolagsbyggare, tekniska ledare och säljare. Vi vet hur man säkrar rätt uppdrag och bygger stabila team.
- Marknadsmässiga villkor: Vi erbjuder en trygg anställning med konkurrenskraftig lön, pension och förmåner.
- Mänskligt fokus: En miljö fri från onödiga armbågar, där vi bevisar att framtidens techbolag kan vara både smarta och mänskliga.
- Utveckling: Möjligheten att definiera vad rollen som konsult innebär när AI skriver grovskissen, men du står för finliret.
Intervjuer sker löpande — skicka gärna din ansökan så snart som möjligt.
Du blir anställd direkt av företaget. Du får veta vilket företag det gäller när du är i kontakt med rekryteraren.
Bumbli Group är inte arbetsgivaren utan rekryteringspartner.
Välkommen med din ansökan!
Bumbli Group är en del av House of Recruitment — en personlig, traditionell och kvalitetsdriven rekryteringsbyrå i Göteborg.
Listing provenance
Where did this job come from?
See where this vacancy came from and whether more than one current source can still support it. Source names help with traceability and attribution; they are not endorsements or guarantees.
The vacancy has recent enabled provenance through a comparatively direct source lane. This strengthens traceability, not employer verification.
- Continuity
- One recent renewable source
- Source-class independence
- One renewable source class
- Last source observation
- Observed very recently
This records when High Paid Job last observed the vacancy in source evidence. It confirms source presence, not that the employer edited the vacancy at that time.
- 1 enabled source recently observed this vacancy.
- At least one recent enabled source is a direct-employer, employer-authorized or official public source.
Source confidence is about traceability and continuity. It is separate from application safety and should not be read as an employer reputation rating.
This vacancy is supplied through an official public employment service. The source identifies where the listing was published; it is not an employer endorsement.
Listing source: Arbetsförmedlingen. Destination: www.houseofrecruitment.se. The application opens in a new tab so you can keep this report open.