Senior (Lead) Data Platform Engineer

Sievo; Helsinki; Hybrid; EUR 59,000 - 83,000; Full time

Benefits offered by this job

Comprehensive healthcare

Phone plan

Home internet

Equity program

Referral bonus

Relocation support

Job summary

Sievo is seeking a Senior (Lead) Data Platform Engineer to join the Helsinki team. The role sits at the intersection of data engineering, software engineering, and platform ownership, building a central data platform for multiple products and teams.

You will design and implement architecture for scalable data pipelines, establish reliable environments, and promote strong software engineering practices. A hybrid/remote-friendly setup is available with relocation support for exceptional candidates.

Qualifications

• Proven track record building maintainable data pipelines in code.
• Experience with cloud data technologies (Databricks and Azure).
• Strong SQL and Python for processing large datasets.
• Experience with Spark and distributed processing.
• Data architecture mindset and end-to-end data flow awareness.
• Solid software engineering practices: version control, automated testing, and automation.

Responsibilities

• Build and maintain the Databricks infrastructure the data platform is built on.
• Set up reproducible environments and cloud resources including IAM, deployment patterns, IaC, security, scalability, and cost efficiency.
• Design and build the overarching data architecture for the platform.
• Develop data pipelines with emphasis on maintainability and reliability.
• Onboard other engineering teams to the central data platform.
• Design data architectures and processing flows for other teams.
• Establish monitoring and data quality checks to ensure trustworthy data.
• Apply software engineering practices: Git, CI/CD, automated testing, production-grade code.
• Gather requirements and communicate trade-offs, delivering to production.
• Troubleshoot platform and integration issues and fix root causes.

Skills

Data engineering

ELT experience

Python

SQL

Databricks

Azure

Spark

Git

CI/CD

Testing

Tools

Databricks

Azure

dbt

Git

CI/CD

Job description

We are looking for a Senior (Lead) Data Platform Engineer to join our Helsinki team. We are establishing an exciting new team with multiple openings and are open to both Senior and Lead levels of experience.

About the role

At Sievo, data is everything — we process more than 2% of global GDP in spend, and turning data at that scale into dependable products takes a serious engineering foundation. Now, we are establishing a new team to take responsibility of a central data platform that is to be the foundation for all products’ and teams’ data needs. As a Data Platform Engineer, you will build the architecture and systems that foundation is made of: controlled and reproducible environments, best practices for reliable pipelines that process and package large datasets, 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 architecture and systems that support the various needs of our data pipelines, data products, and multiple engineering teams working with the platform. You know how to build and manage solid environments and infrastructure for data pipelines, can help other teams design maintainable pipelines, 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 engineers, software engineers, engineering leadership and all product 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 the common Databricks infrastructure the data platform is built on

• Set up and own controlled, reproducible environments and cloud resources — permissions, deployment patterns, infrastructure-as-code, security, scalability, and cost efficiency

• Design and build the overarching data architecture for the platform

• Build best practices for data pipelines that process and move large datasets between systems, with a strong emphasis on maintainability and reliability

• Help other engineering teams onboard to the central data platform

• Help other teams design their data architecture and processing flows

• Build foundation for common monitoring and data quality checks and validations so that our data remains trustworthy and understandable

• Apply software engineering practices throughout: Git-based version control, CI/CD-style workflows, automated testing, and reproducible, production-quality code

• Gather technical requirements from internal stakeholders, communicate trade-offs clearly, and work with the team to take deliverables through to production

• Troubleshoot platform and integration issues, fixing root causes rather than symptoms

What we’re looking for

• Solid data engineering and ELT experience building maintainable data pipelines written in code rather than relying on managed cloud tooling

• Strong experience with cloud data technologies, preferably Databricks and Azure

• SQL and Python skills for processing and moving large, complex datasets, and experience with distributed processing such as Spark

• 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

• Hands-on experience and solid skills with agentic development

• The judgment to recognize what a healthy system looks like — caring about metrics, monitoring, and long-term health

• 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 building large-scale data platforms or data architectures

• 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 version-controlled transformations (e.g. dbt) or semantic/data modeling

• Familiarity with polyglot environments and adjacent tooling (e.g. YAML, C#)

Our salary range for a Platform Data Engineer is based on the job level:

• Senior Platform Data Engineer 5300 – 6500 eur/month

• Lead Platform Data Engineer 6200 – 7400 eur/month

We are open to discussing higher compensation for particularly senior profiles.

This role is ideal for a Senior or Lead Data Engineer with real software engineering depth who wants to help own and evolve a data platform with their team — building and operating dependable environments, not just individual ELT jobs.

Why you’ll love this role

You’ll be the engineering backbone of a strategically important, fast-evolving engineering 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 engineering and product leaders to turn our 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!

We offer a relocation support package for exceptional candidates.

Meet Sievo
We are Sievo – the leading procurement analytics SaaS company from Finland. We help the largest companies in the world, household brands like Levi’s, Kellogg’s and Mars, to generate cost savings, understand their procurement data, make data-driven decisions, reduce emissions, drive supply chain resilience, and beyond. Each year, we process spend equivalent to 2% of the global GDP. Pretty cool, right?

At the core of our success are talented people from all over the world with different backgrounds and perspectives. Our 400+ Sievonians are based across Helsinki, Chicago, Bucharest and London. Our core values are caring, exceeding, and honesty - values that make us grow bigger and better, not bigger and bitter.

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.

We acknowledge the impact of imposter syndrome during job search, especially for underrepresented groups. If you’re interested in the position and believe that you have the potential to excel in it, we encourage you to apply.