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Sales Consulting

P&C Data Engineer

Sales Consulting Bucureşti, Bucharest, Romania

Human Resources Services · 51-200 employees

Oct 14
data-engineer Mid (2-5 yrs) Full-time Romania
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About the role

You will build, test, and maintain data pipelines and services to support data distribution while adhering to best practices. Additionally, you will collaborate with your squad and stakeholders to ensure the delivery of reliable, high-quality data solutions.

What they look for

Python Pyspark SQL Data Pipelines API Development Databricks Palantir Foundry CI/CD Gitflows REST API Power BI Agile Scrum Kanban Data Modeling Change Data Capture

Requirements

The role requires at least 3 years of experience in data engineering with proficiency in Python, Pyspark, and SQL. A bachelor's degree in a technical field is required, along with strong analytical skills and experience in agile development environments.

Full description

Key duties and responsibilities

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
  • Fluent English, both written and spoken

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)

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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