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Senior Data Engineer

  • Remote
    • Krakow, Podlaskie, Poland
    • Poland, Mazowieckie, Poland
    • Lublin, Lubelskie, Poland
    • Krosno, Dolnośląskie, Poland
    • Warsaw, Warmińsko-Mazurskie, Poland
    • Sarajevo, Federacija Bosne i Hercegovine, Bosnia and Herzegovina
    • Barcelona, Catalunya [Cataluña], Spain
    • Madrid, Comunidad de Madrid, Spain
    • Tenerife, Canarias, Spain
    • Vienna, Wien, Austria
    • Wien, Wien, Austria
    • Brussels, Brussels, Belgium
    • Liège, Walloon Region, Belgium
    • Mons, Walloon Region, Belgium
    • Namur, Walloon Region, Belgium
    • Sofia, Sofia, Bulgaria
    • Zagreb, Zagrebačka županija, Croatia
    • Zagreb, Grad Zagreb, Croatia
    • Aya Napa, Larnaka, Cyprus
    • Limassol, Lemesos, Cyprus
    • Paphos, Larnaka, Cyprus
    • Nicosia, Lefkosia, Cyprus
    • Pilsen, Plzeňský kraj, Czechia
    • Praha, Praha, Hlavní město, Czechia
    • Tallinn, Harjumaa, Estonia
    • Ljubljana, Ljubljana, Slovenia
    • Ljubljana, Ljubljana, Slovenia
    • Bratislava, Bratislavský kraj, Slovakia
    • Bucuresti, București, Romania
    • Porto, Lisboa, Portugal
    • Lisbon, Lisboa, Portugal
    +30 more
  • Engineering

Job description

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a Business Development Executive to join one of our clients' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

We are looking for a skilled Senior Data Engineer. This role, you will be responsible for building scalable data pipelines, working with large datasets, and optimizing data workflows in a cloud-based environment. You will collaborate closely with data and engineering teams to ensure efficient and reliable data processing.

Key Responsibilities

  • Design, build, and maintain robust data pipelines (ETL/ELT)

  • Work with Databricks for large-scale data processing using Spark and Delta Lake

  • Optimize data workflows, performance, and data storage solutions

  • Collaborate with cross-functional teams including data analysts, engineers, and stakeholders

  • Ensure data quality, reliability, and scalability across systems

  • Contribute to continuous improvement of data architecture and processes

Job requirements

  1. Strong experience with Databricks (Spark / Delta Lake)

  2. Proficiency in Python for data processing

  3. Strong knowledge of SQL

  4. Hands-on experience with ETL/ELT pipeline development

  5. Experience with at least one cloud platform (AWS, Azure, or GCP)

  6. Familiarity with Git and basic CI/CD practices

Nice to Have

  • Experience with dbt

  • Knowledge of streaming technologies (e.g., Kafka or similar)

  • Experience with Terraform or Infrastructure as Code (IaC)

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