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Senior P&C Data Engineer

Pay
Pay not listed
Work setting
Not stated
Employment
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What you’ll work on

Full posting
  • Build, test, and maintain data pipelines and API services for data distribution

  • Review and coach data engineers to help them grow

  • Document data artefacts such as code, diagrams and wiki pages

  • Implement tests and controls for trustworthy pipelines serving transactional and analytical needs

From the employer’s posting
Build, deliver, test, maintain data artefacts such as data pipelines & services (API) to serve data distribution
Review and coach data engineers, support them by helping them to grow
Document data artefacts (code, diagrams, wiki-like documentation)
Support the delivery of trust-worthy data pipelines that serve both transactional and analytical needs, by implementing adequate tests and controls

What you’ll bring

All qualifications

Core experience

  • 6+ years as a data engineer
  • Strong Python, PySpark and SQL skills
  • Experience developing and maintaining data pipelines, preferably in Scrum or Kanban projects
  • Good knowledge of CI/CD pipelines and Gitflow practices
  • Knowledge of REST API development
Qualification wording
+6 years of experience as a data engineer
Strong level in Python, Pyspark and SQL
Proven experience in development and maintenance of data pipelines, preferably in agile projects (Scrum and/or Kanban)
Good knowledge of CI / CD pipelines and Gitflows best practices
Knowledge of REST API development
Education & alternatives
- Communication, ability to speak to a wide community of stakeholders (business, data, IT) - Bachelor's degree in computer science, software or computer engineering, applied math, physics, statistics, or a related field or equivalent experience
Apply at Scor

Posting record

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Actively 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

Time since we first saw it

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.

Scor is hiring

23 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See 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 - Strong 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
Technical Skills: - Strong 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
- 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 - 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 - 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.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 834, the most 1,326, and the latest week had 1,326.
August 17Last week

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

View original posting ↗

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.

  • Review and coach data engineers, support them by helping them to grow.
  •  

Required experience & competencies:

  • +6 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
  • Strong 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
  • Knowledge of REST API development
  • 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:

  • Strong 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
  • Knowledge of REST API development
  • 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) 
  • Bachelor's degree in computer science, software or computer engineering, applied math, physics, statistics, or a related field or equivalent experience

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Bucuresti - Ilfov, Romania

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