Data Engineer

Yukisoftware

Barcelona

Hybrid

EUR 40,000 - 60,000

Full time

14 days+
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Benefits offered by this job

Hybrid working options
Annual training budgets
Team-building activities

Job summary

Yukisoftware in Barcelona is looking for a Data Engineer to build and maintain the data foundation of their platform. In this role, you will ensure reliable data integrations and process source data using technologies like Snowflake and Databricks.

Ideal candidates will have 3-4 years of data engineering experience, solid skills in SQL and Python, and a passion for quality data management. Yuki offers a flexible hybrid working environment, growth opportunities, and an engaging work atmosphere.

Qualifications

  • 3 to 4 years of strong data engineering experience, ideally in a product company or SaaS.
  • Solid with SQL, Python, Databricks, Snowflake, Apache Spark, Terraform, Azure DevOps.
  • Experience in building and monitoring data pipelines.

Responsibilities

  • Build and own the data foundation including data integrations and processing.
  • Run efficient Spark jobs and build infrastructure as code with Terraform.
  • Partner with data scientists and product teams to capture telemetry data.

Skills

Data engineering experience
SQL
Python
Databricks
Snowflake
Apache Spark
Terraform (IaC)
Azure DevOps
Fluent English

Job description

Yuki & The Yuki Way

Hi there, welcome to Yuki! As a vibrant, international IT scale-up, we support accountants, businesses, and entrepreneurs in handling their accounting more efficiently, simply, and enjoyably. And to make that possible? Well, we’re looking for kick‑ass colleagues to complete our ambitious, cheerful, and lively team of top professionals!

A True Yukiaan at Heart

Driven, enthusiastic, and with a quirky side: there's always some buzz in our trendy office in Berchem. And that’s the way we like it! We’re eager to achieve results, take on our responsibilities, support each other through thick and thin, and continuously focus on an innovative future.

Everything can be improved, and… you can definitely contribute to that!

Values Worth Having

At Yuki, we place our employees first and foremost. Togetherness, authenticity, and collective momentum: that's what we're all about, day in and day out! We consciously choose colleagues who align closely with our core values:

  • Entrepreneurial - Dare, do, and persist. At Yuki, we continuously encourage innovation, self‑development, and initiative.

  • Responsible - We are all essential links within Yuki, and we are aware of our responsibilities.

  • Dedicated - Involved, helpful, and full of passion: as one close‑knit team, we always go the extra mile.

  • Inclusive - We all embrace each other's diversity within an equitable, flat company structure.

Your Role at Yuki

As our Data Engineer, your mission is to build and own the data foundation everything else stands on. You land source data reliably into Snowflake, then shape it on Databricks so our data scientists can build on data they can actually trust.

You sit right inside the data team, working shoulder to shoulder with the data scientists who depend on what you deliver. You build it, you ship it, you serve it, and you keep an eye on it. The other half of your world is product usage data: owning how we capture clean, reliable telemetry as a continuous new stream of signal about how people actually use Yuki.

  • Data integrations: Get source data into the platform reliably. This is your primary focus.

  • Landing & processing: Ingest and organize source data in Snowflake, with operational processing and serving on Databricks (Medallion: bronze, silver, gold).

  • Scale & infra: Run efficient Spark jobs, build infrastructure as code with Terraform, and own CI/CD plus first response when pipelines break.

  • Product telemetry: Instrument in‑product usage data with the product teams through tools like Mixpanel, Pendo, and Segment.

  • Co‑create: Partner with the data scientists and innovation team to adjust pipelines as features and use cases evolve.

Job Requirements
  • 3 to 4 years of strong data engineering experience, ideally in a product company or SaaS.

  • Solid with the stack: SQL, Python, Databricks, Snowflake, Apache Spark, Terraform (IaC), Azure DevOps.

  • You build pipelines, monitor them, and own quality. Schema management and the Medallion architecture are second nature.

  • You take initiative: you've shipped, you've monitored, and you've failed and learned, not just executed tickets.

  • Nice to have: AWS Bedrock, ML‑adjacent work (feeding model training), and financial‑data exposure.

  • Fluent English is a must.

Very Important: What's in It for You

At Yuki, we believe in empowering our team so they can empower our users. Here’s what we offer:

  • Flexibility: Hybrid working options and gliding hours to suit your lifestyle.
  • Growth Opportunities: Annual training budgets and access to professional development.
  • International Culture: Work in a dynamic, diverse, and inclusive team with colleagues from all over the world.
  • Engaging Work Environment: Offices in Antwerp, Barcelona, and Porto, with team‑building activities, social events, and inspiring spaces to collaborate.
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