Senior Data Engineer

Reposted 13 Days Ago
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Vilniaus miesto, Vilnius, Vilniaus apskritis, LTU
Hybrid
Senior level
Mobile
The Role
Design, build, and maintain the data warehouse and architecture; create and optimize ETL/ELT pipelines; implement integrations; ensure data quality, validation, and governance; collaborate with data scientists, analysts, and stakeholders; build and evolve data infrastructure using GCP, BigQuery, dbt, and Apache Superset.
Summary Generated by Built In
About Us
 
Scale Tech is a software development agency providing outsourcing, staff augmentation, and end-to-end software delivery for clients across Lithuania and Europe. We are currently looking for a Senior Data Engineer to join the team of our long-time partner - a well-established company in the fintech sector.
 

Engagement details:

  • Full-time, long-term engagement.
  • Primarily offered as a B2B freelance contract - this is our preferred cooperation model. That said, if you are only considering permanent employment, we still encourage you to apply, as this option can be discussed individually.
  • Fully remote work.
  • Laptop and work equipment provided by our partner.

Your Responsibilities:

  • Take ownership of designing, building, and maintaining the data warehouse and overall data architecture, keeping scalability and performance in mind.
  • Create and improve data pipelines and ETL processes that serve both analytical and operational needs.
  • Implement integrations connecting various internal platforms and third-party systems.
  • Establish and maintain data quality standards and governance practices, including validation and monitoring routines.
  • Partner with data scientists, analysts, and business stakeholders to make sure trustworthy data is available for decision-making.
  • Build and evolve the data infrastructure using Google Cloud Platform (GCP), BigQuery, dbt, and Apache Superset.

What We Expect:

    • At least 3 years of hands-on experience in a Data Engineer role.
    • Solid working knowledge of GCP and BigQuery.
    • Practical experience using dbt for data modeling and transformations.
    • Strong Python and SQL skills.
    • Proven track record of building and tuning ETL/ELT pipelines.
    • Experience with Apache Superset or similar BI/visualization tools.
    • Comfortable with everyday development tooling such as Git, Docker, and Jira.
    • Good communication skills and a collaborative mindset.
    • Ability to think analytically and turn concepts into working solutions.
    • Previous experience in banking or fintech would be considered an advantage.
    •  

Sounds Like a Fit?

If this role matches your experience and expectations, feel free to apply - we would be happy to tell you more about the position, the partner, and the next steps.

Skills Required

  • At least 3 years of hands-on experience in a Data Engineer role.
  • Solid working knowledge of GCP and BigQuery.
  • Practical experience using dbt for data modeling and transformations.
  • Strong Python skills.
  • Strong SQL skills.
  • Proven track record of building and tuning ETL/ELT pipelines.
  • Experience with Apache Superset or similar BI/visualization tools.
  • Familiarity with Git, Docker, and Jira.
  • Good communication skills and a collaborative mindset.
  • Ability to think analytically and turn concepts into working solutions.
  • Previous experience in banking or fintech.
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The Company
HQ: Vilnius
28 Employees
Year Founded: 2005

What We Do

Scale3C is Mobile development and Outsourcing company based in Northern Europe with clients from USA, Canada and Europe. Main services: - UX/UI design - Staff augmentation / Out staffing / Outsourcing - Mobile development - Product management

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