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Day 4
Early. Similar jobs usually come down between day 5 and day 54.
From 12,144 similar postings that came down. Coming down is not always a hire.
P&C Data Engineer
Bucuresti - Ilfov, Romania
Actively hiring, first seen by us 4 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingLead a data engineering team building data pipelines
Build, test and maintain data pipelines and API data services
Act as local coordinator for central best practices
Document code, diagrams and wiki-style data artefacts
Add tests and controls to pipelines serving transactional and analytical needs
From the employer’s posting
You will be leading a data engineering team to support the development of data pipelines
Build, deliver, test, maintain data artefacts such as data pipelines & services (API)
act as a local coordinator to ensure that our central best practices are applied
Document data artefacts (code, diagrams, wiki-like documentation)
by implementing adequate tests and controls
What you’ll bring
All qualificationsCore experience
- 3+ years as a data engineer
- Experience developing and maintaining data pipelines, ideally in agile teams
- Good level in Python, PySpark and SQL
- Strong analytical thinking and a solution-oriented mindset
- Ability to communicate with business, data and IT stakeholders
Preferred experience
- Knowledge of REST API development is a plus
Qualification wording
+3 years of experience as a data engineer
Proven experience in development and maintenance of data pipelines, preferably in agile projects (Scrum and/or Kanban)
Good level in Python, Pyspark and SQL
Strong analytical thinking, rigorous mindset solution-oriented and force of proposal
Communication, ability to speak to a wide community of stakeholders (business, data, IT)
Knowledge of REST API development is a plus
Posting record
Report an errorActively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20264 days ago
- Recorded sightings
- 5
- Last seen by us
- Nov 9, 2026
- Employer says posted
- Aug 19, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Scor is hiring
23 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Databricks
- Power BI
- PySpark
Where the posting names them
- Experience in (Re)insurance industry and / or Financial Services is a plus - Good level in Python, Pyspark and SQL, ability to develop data pipelines under various platform using good practices such as parallelization, distributing programing techniques, decisional modeling, slowly changing dimensions, change data capture management… - Good knowledge of CI / CD pipelines and Gitflows best practices is a strong plus
Technical Skills: - Good level in Python, Pyspark and SQL, ability to develop data pipelines under various platform using good practices such as parallelization, distributing programing techniques, decisional modeling, slowly changing dimensions, change data capture management… - Good knowledge of CI / CD pipelines and Gitflows best practices is a strong plus
- Proven experience in development and maintenance of data pipelines, preferably in agile projects (Scrum and/or Kanban) - Proven experience with Databricks and/or Palantir Foundry is a strong plus - Experience in (Re)insurance industry and / or Financial Services is a plus
- Knowledge of REST API development is a plus - Knowledge of reporting tools (e.g. Power BI) is a plus - Strong analytical thinking, rigorous mindset solution-oriented and force of proposal
- Knowledge of REST API development is a plus - Knowledge of reporting tools (e.g. Power BI) is a plus Behavioral & Management Skills:
Your next step
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Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
We are seeking a Data Engineer Team Lead to join our dynamic Tech team. The ideal candidate is an inspirational team lead, problem-solving oriented with strong analytical thinking. You will be leading a data engineering team to support the development of data pipelines amongst our IT and Data products and act as a local coordinator to ensure that our central best practices are applied.
Under the responsibility of a Lead Data Engineer, your mission will be to:
Build, deliver, test, maintain data artefacts such as data pipelines & services (API) to serve data distribution while following standard best practices.
Document data artefacts (code, diagrams, wiki-like documentation) to secure the comprehensiveness of your work.
Collaborate within and outside your squad by partipipating to workshops or rituals (dailys, sprint reviews, design sessions)
- Support the delivery of trust-worthy data pipelines that serve both transactional and analytical needs, by implementing adequate tests and controls.
Required experience & competencies
- +3 years of experience as a data engineer, data oriented mindset
- Proven experience in development and maintenance of data pipelines, preferably in agile projects (Scrum and/or Kanban)
- Proven experience with Databricks and/or Palantir Foundry is a strong plus
- Experience in (Re)insurance industry and / or Financial Services is a plus
- Good level in Python, Pyspark and SQL, ability to develop data pipelines under various platform using good practices such as parallelization, distributing programing techniques, decisional modeling, slowly changing dimensions, change data capture management…
- Good knowledge of CI / CD pipelines and Gitflows best practices is a strong plus
- Knowledge of REST API development is a plus
- Knowledge of reporting tools (e.g. Power BI) is a plus
- Strong analytical thinking, rigorous mindset solution-oriented and force of proposal
- Team player, commitment, curiosity, interest to challenge
- Capacity to navigate in an international environment
Technical Skills:
- Good level in Python, Pyspark and SQL, ability to develop data pipelines under various platform using good practices such as parallelization, distributing programing techniques, decisional modeling, slowly changing dimensions, change data capture management…
- Good knowledge of CI / CD pipelines and Gitflows best practices is a strong plus
- Knowledge of REST API development is a plus
- Knowledge of reporting tools (e.g. Power BI) is a plus
Behavioral & Management Skills:
- Strong analytical thinking, rigorous mindset solution-oriented and force of proposal
- Team player, commitment, curiosity, interest to challenge
- Capacity to navigate in an international environment
- Communication, ability to speak to a wide community of stakeholders (business, data, IT)
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bucuresti - Ilfov, Romania
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.