P&C Data Engineer
Fa Errt Saasfaprod1 Open · verified Oct 24, 2026 At a glance
Mid-level Data Engineering role at Fa Errt Saasfaprod1. Bucuresti - Ilfov, Romania.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and support data pipelines and API services that move data across IT and data products
- Write code notes, diagrams and wiki-style guides so your data work can be understood and maintained
- Join workshops, daily meetings, sprint reviews and design sessions with your squad and partner teams
- Add tests and checks to keep pipelines dependable for both transactional and analytical use
- Coordinate local work so central engineering practices are followed across the team
What you bring
- At least three years working as a data engineer, with hands-on experience building and maintaining data pipelines
- You can develop pipelines in Python, PySpark and SQL using approaches such as parallel processing and change-data capture
- You bring analytical rigor, practical problem-solving and the ability to communicate with business, data and IT stakeholders
Who this fits
This role suits a data engineer who can lead a team while staying hands-on with pipeline delivery. You’ll work across an international environment and coordinate locally under a Lead Data Engineer.
From the employer
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)
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