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data engineer in Databricks

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Summary

Consulting data engineer (Deloitte) designing, building, and optimizing Databricks pipelines: ETL/ELT with PySpark, Spark SQL, and Scala, Delta Lake medallion architecture, cluster cost/performance tuning, CI/CD automation, and migration of legacy pipelines while driving Lakehouse adoption across clients. Requires 4+ years of data engineering experience.

Описание:

Deloitte provides business consulting and services to clients.

Задачи:

  • Design, build, and optimize data pipelines in Databricks;
  • Develop, optimize, and operate ETL/ELT pipelines in Databricks using PySpark, SparkSQL, and Scala;
  • Run migration programmes to Databricks, including legacy ETL processes into scalable data pipelines;
  • Build robust data pipelines on Databricks for real-time and batch processing;
  • Configure and manage Databricks clusters and jobs for cost and performance efficiency;
  • Apply CI/CD to automate testing and deployment of notebooks, jobs, and pipelines;
  • Drive adoption of Databricks Lakehouse architecture and data engineering practices across clients;
  • Design and build reliable ETL/ELT pipelines in Databricks;
  • Apply medallion architecture and Delta Lake best practices;
  • Optimize clusters for performance and cost;
  • Embed data quality to deliver reliable data products;
  • Work closely with cloud platform engineers to ensure data solutions are secure, scalable, and easy to operate.

Требования:

  • Hold a technical Master’s degree, preferably in Data Science, Big Data, Econometrics, Physics, Mathematics, Computer Science, Artificial Intelligence, or a related field;
  • Have at least 4 years of work experience in data engineering;
  • Have strong hands‑on experience with Databricks and Apache Spark, including PySpark and Spark SQL;
  • Have a deep understanding of Delta Lake and medallion architecture;
  • Be proficient in SQL and one or more data engineering‑related programming languages, such as Python or Scala;
  • Have excellent command of English and Dutch;
  • Nice to have: consulting experience, relevant Databricks certifications such as Data Engineer Associate/Professional, Spark Developer Associate, or Data Analyst Associate.

Условия:

  • Profit‑sharing in addition to a fixed salary;
  • Flexible working hours;
  • Part‑time work for 32 hours or full‑time work for 40 hours;
  • 26 Vacation days per year for a full‑time employment and the option to purchase additional days;
  • The option to exchange 3 national holidays for 3 non‑national holidays;
  • Time‑for‑time arrangement;
  • The possibility to take at least 2 months of sabbatical leave;
  • Mobility scheme with options including a lease car, public transport, cash budget, or a combination;
  • Allowance for an ergonomically equipped home office and internet allowance;
  • Up to 55 hours of childcare service per calendar year for children aged 12 or younger;
  • Laptop and iPhone, with private use of the iPhone permitted;
  • Pension scheme with a 2% employee contribution;
  • Participation in a collective healthcare cost scheme;
  • Tax‑advantaged benefits such as company fitness, bicycle purchase, or bicycle leasing;
  • Monthly flexible benefits budget for options such as additional vacation days or bicycle plan financing;
  • Six weeks of fully paid birth leave for traditional and rainbow families.

Skills

See also

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