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Est. expiry Nov 12

Senior Data Platform Engineer

Data Platform Engineer

Posted Oct 8 (21 days ago) · Last updated Oct 29 · Open 21 days. This role usually stays open about 29 days

Key facts

Build Sievo’s central Databricks data platform in Helsinki; senior and lead levels are available.

How this salary compares

€5,300 - €7,400Benchmarked against senior roles

Too few postings state a salary to show this.

Monthly salary comparison for Data Platform Engineer
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
senior roles€5,300 per month€6,175 per month€7,400 per month
This offer€5,300 per month€6,350 per month€7,400 per month

Based on 2 job ads that state the pay. · Data and reuse

Est. take-home €3,577 - €4,605

Where and how
HelsinkiHybrid (Helsinki office)Senior
Languages required
English

Original job ad

As published by Sievo Oy

Open the ad
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. How to apply Does this sound like your kind of role? We are saving you a seat! Please send us your CV through our application system. Additionally, any GitHub links, contributions to open-source projects, and displays of passion projects are all welcome. We are screening applications continuously.

This is the employer's own ad. Pay, requirements and the other details on this page are our reading of it, not facts the employer confirmed.

About the role

Summarised by JobCrawls from the job ad above.

Requirements

  • Solid data engineering and ELT experience building maintainable, code-based pipelines
  • Strong cloud data technology experience, preferably Databricks and Azure
  • SQL and Python skills and experience with distributed processing such as Spark
  • End-to-end data architecture perspective
  • Strong software engineering practices, including Git, automated testing and maintainable code
  • Hands-on experience and solid skills with agentic development
  • Ownership, teamwork, clear communication and a growth mindset

Responsibilities

  • Build and maintain shared Databricks infrastructure
  • Own reproducible environments and cloud resources, including permissions, security, scalability and cost efficiency
  • Design the platform’s overall data architecture and reliable data pipeline practices
  • Support teams onboarding to the platform and designing architectures and processing flows
  • Establish monitoring, data-quality checks and validations
  • Apply version control, CI/CD workflows, automated testing and reproducible production code
  • Gather requirements, communicate trade-offs and deliver work to production
  • Troubleshoot platform and integration issues and fix root causes

Skills & technologies

DatabricksAzAzureSQLPythonApache SparkELTGitCI/CDAutomated TestingInfrastructure As CodeDbtYAMLC#C#Agentic DevelopmentData Modeling

Benefits & perks

Recruitment process

  1. Submit a CV through the application system
  2. GitHub links, open-source contributions and passion projects are welcome
  3. Applications are reviewed continuously

About Sievo Oy

Financial overview
€21.8M
Revenue
-€2.9M
Profit
-13.0%
Profit margin
Sievo Oy logo
Sievo Oy · 7 open roles
Top locations (all time): Helsinki, Finland · 74 · Remote - Global · 23 · Bucharest, Romania · 4 · +3 other locations
View company
Current open roles at Sievo Oy on JobCrawls
LocationActive listings
Helsinki, Finland74
Remote - Global23
Bucharest, Romania4
Remote - Finland2
Chicago, United States1
Chicago, USA1
Current role mix at Sievo Oy on JobCrawls
Role typeActive listings
Data Engineer9
Customer Success Manager5
Product Manager4
Engineering Manager3
VP, Partnerships3
Data Management Specialist3
Customer Marketing Manager3
Key Account Manager3
Service Designer2
Backend Engineer2
Machine Learning Operations Engineer2
Partnerships Manager2
Summer Intern2
Sales Operations Manager2
Legal Counsel2
Office Coordinator2
Product Director2
Data Science and Machine Learning Engineer2
Employee Spotlight2
Software Engineer2
Consultant2
Head of Sales and Business Development1
VP, Partnerships & Managing Director1
Manager1
Procurement Data Manager1
Account Manager1
Life at Sievo1
Senior Vice President1
Data Scientist1
Project Manager1
Growth Marketing Manager1
Director1
Procurement Data Content Manager1
Employee1
Frontend Platform Engineer1
Data Platform Engineer1
Cloud Data Engineer1
Chief of Staff1
Engineer Manager1
Generalist1
Website & CRO Specialist1
Senior Software Engineer1
Salesforce Specialist1
Recruitment Team1
Solution Consultant1
Engineer1
Machine Learning Engineer1
Implementation Consultant1
Business Intelligence Specialist1
Data Enrichment Specialist1
Open Application1
Human Resources1
Chief Information Security Officer1
Sales Specialist1
Platform Data Engineer1
Account Executive1
Data Architect1
Sales Development Manager1
Sales Manager1
Current role-level mix at Sievo Oy on JobCrawls
Role levelActive listings
Mid-Level40
Manager30
Senior20
Director4
Executive1
Junior1
Intern1
About the employer

Sievo is a Finland-based procurement analytics SaaS company helping large organizations optimize procurement, generate savings and make data-driven decisions. It processes spend equivalent to 2% of global GDP and has more than 400 employees across Helsinki, Chicago, Bucharest and London.

Core values
CaringExceedingHonesty

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