Senior P&C Data Engineer
Fa Errt Saasfaprod1 Open · verified Oct 24, 2026 At a glance
Senior 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, test and maintain data pipelines and API services for distributing data
- Document code, diagrams and other data artefacts so your work is clear and reusable
- Help deliver reliable pipelines for transactional and analytical use through appropriate tests and controls
- Join workshops and team routines, and coordinate locally so central practices are followed
- Review other data engineers’ work and coach them as they develop
What you bring
- At least six years working as a data engineer, with a focus on data
- Strong Python, PySpark and SQL skills for building pipelines across platforms
- Practical knowledge of CI/CD workflows, Git practices and REST API development
- A bachelor's degree in a computing or quantitative field, or equivalent experience
Who this fits
This role suits a senior data engineer ready to lead and coach a team while staying involved in pipeline delivery. You should be comfortable working with business, data and IT stakeholders in an international setting.
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.
- 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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