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Sales Consulting

Senior P&C Data Engineer

Sales Consulting Bucureşti, Bucharest, Romania

Human Resources Services · 51-200 employees

Oct 13
data-engineer Senior (5-10 yrs) Full-time Romania
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About the role

Build, test, maintain, and document data pipelines and APIs that support transactional and analytical data needs, using appropriate engineering practices, tests, and controls. Collaborate across teams and coach data engineers to support their development.

What they look for

Python PySpark SQL Data Pipeline Development Databricks Palantir Foundry CI/CD Git REST API Development Data Testing and Controls Parallel Computing Dimensional Modeling Slowly Changing Dimensions Change Data Capture Power BI Agile Methodologies

Requirements

Requires at least six years of data engineering experience and strong Python, PySpark, and SQL skills, including experience developing and maintaining data pipelines. A bachelor's degree or equivalent experience is required; experience with Databricks or Palantir Foundry, insurance or financial services, CI/CD, Git workflows, and REST APIs is advantageous.

Full description

Key duties and responsibilities

Under the responsibility of a Lead Data Engineer, your mission will be to:

1. Build, deliver, test, maintain data artefacts such as data pipelines & services (API) to serve data distribution while following standard best practices;

2. Document data artefacts (code, diagrams, wiki-like documentation) to secure the comprehensiveness of your work;

3. Collaborate within and outside your squad by participating to workshops or rituals (dailys, sprint reviews, design sessions);

4. 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.

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).

Required Education

  • 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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