Senior (Lead) Platform Data Engineer

We are looking for a Senior (Lead) Platform Data Engineer to join our Helsinki team. Depending on experience, this role may be filled at a Senior or a Lead Platform Data Engineer level.

About the role

At Sievo, data is everything — we have visibility into more than 2% of global GDP in spend, and turning data at that scale into dependable products takes a serious engineering foundation. As a Platform Data Engineer, you will build and operate the systems and data pipelines that foundation is made of: reliable pipelines that process and package large datasets, controlled and reproducible environments, and the automation and quality checks that keep everything trustworthy as the system scales.

This role sits at the intersection of data engineering, software engineering, and platform ownership. You will design and build maintainable pipelines, own the environments and infrastructure they run on, and apply solid software engineering practices — version control, testing, automation, and reproducibility — so the products built on top are dependable. Think of it as a data engineer with a product‑development mindset and the engineering rigor of a software engineer.

You will work closely with data scientists, data engineers, product managers, and other engineering teams — gathering technical requirements, making sensible architectural trade‑offs, and sharing ownership of the platform you help build. This is not a single‑project role: in the longer term the work reaches across teams, giving you a hand in shaping Sievo's data architecture as a whole.

What you’ll do

• Build and maintain data pipelines that process and move large datasets between systems, with a strong emphasis on maintainability and reliability
• Set up and own controlled, reproducible environments and cloud resources — permissions, deployment patterns, infrastructure‑as‑code, security, scalability, and cost efficiency
• Design data architecture and processing flows, building pipelines in code rather than relying solely on cloud drag‑and‑drop tooling
• Operate and monitor what you build — instrument systems with the metrics and checks that show whether they are healthy, and act on what they tell you
• Automate data processes and recurring runs that are manual today, and set up new parts of the data environment as Sievo's data work grows
• Apply software engineering practices throughout: Git‑based version control, CI/CD‑style workflows, automated testing, and reproducible, production‑quality code
• Define and implement data quality and validation checks so downstream outputs are trustworthy and understandable
• Gather technical requirements from internal stakeholders, communicate trade‑offs clearly, and work with the team to take deliverables through to production
• Troubleshoot data quality and integration issues, fixing root causes rather than symptoms

What we’re looking for

• Solid data engineering and ELT experience building maintainable data pipelines, including pipelines written in code rather than relying only on managed cloud tooling
• Strong SQL and Python skills for processing and moving large, complex datasets, and experience with distributed processing such as Spark
• Experience with cloud data technologies, preferably Azure, including tools such as Synapse / Fabric and Databricks
• A data architecture mindset and a wide technical perspective — comfortable seeing how data moves end to end rather than working within a narrow slice
• Strong software engineering practices: Git/version control, automated testing (you write tests as a matter of course), and clean, reproducible, maintainable code
• The judgment to recognize what a healthy system looks like — caring about metrics, monitoring, and long‑term health, not just committing and moving on
• Ability to take ownership and deliver as part of a team — balancing independent work with close collaboration
• A growth mindset and a can‑do attitude
• Strong communication skills, with the ability to gather requirements, explain technical trade‑offs, and collaborate across teams

Bonus points for

• Experience with procurement, ERP, or accounting data, or other complex enterprise data domains
• Experience with infrastructure‑as‑code and platform/environment ownership (permissions, security, scalability, cost efficiency)
• Experience with analytics engineering and version‑controlled transformations (e.g. dbt) or semantic/data modeling
• Experience with privacy‑preserving analytics, anonymized datasets, or aggregation thresholds
• Familiarity with polyglot environments and adjacent tooling (e.g. YAML, C#)

Salary range

• Senior Platform Data Engineer 5300 – 6500 eur/month
• Lead Platform Data Engineer 6200 – 7400 eur/month

We also offer relocation support package for exceptional candidates.

Why you’ll love this role

You’ll be the engineering backbone of a strategically important, fast‑evolving data initiative — one whose scope is set to grow. You’ll have the autonomy to shape the architecture, choose the right tools, and set the engineering standards, working directly with data scientists, product, and engineering leaders to turn data into dependable, production‑grade capabilities.

What it’s like working at Sievo

• Work with modern data, cloud, and engineering technologies on real production systems that power customer‑facing features
• Grow your expertise across data engineering, software engineering, and data platform ownership, with room to deepen and broaden over time
• One of the coolest offices in the heart of Helsinki — or if you prefer, a flexible hybrid working model. We also provide all essential tools to work remotely
• Freedom and responsibility. We are looking for people who yearn for this freedom, can make the most out of it, and are willing to take on the responsibility
• International team members coming from over 40 nationalities
• Awesome perks including extensive healthcare, phone plan, home internet connection, equity program, referral bonus, and many more!

At Sievo, we celebrate and support differences and strive to create a culture where everyone feels valued and included. As an Equal Opportunity Employer, we do not discriminate against any individual in hiring or employment based on gender, gender identity or expression, age, ethnic or national origin, nationality, language, religion or belief, opinion, disability, state of health, sexual orientation, or other personal reasons.