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Sievo is hiring a Senior/Lead Cloud Data Engineer to join our Helsinki team. You’ll build ELT platforms, design scalable data pipelines, and apply strong software engineering practices to production-grade data products.
You’ll collaborate with data and software engineers, shaping a platform used across our data pipelines and customer solutions, with a hybrid work model in Helsinki and remote options.
We are looking for a Senior (Lead) Cloud Data Engineer to join our Helsinki team. We are growing our Connectors & Data Factory team and opening multiple roles for both Senior and Lead levels of experience.
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. The team in question is responsible for the platform used to ingest our customers’ data - the foundation for Sievo’s key data asset. As an Cloud Data Engineer, you will build the tools, libraries, data schemas, processes, and best practices that our Data Engineers use to build customer-specific ELT pipelines. We lay the foundation for processing large datasets at scale, enabling reliable extraction and transformation of our global clients’ data.
This role sits at the intersection of data engineering and software engineering. You will design and build an ELT platform that supports the various needs of our data pipelines, data products, and Data Engineers working with it. You know how to build and manage solid data pipelines, can design the environments and infrastructure they require, 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, and other product teams — gathering requirements, making sensible technical trade-offs, and sharing ownership of the platform you help build. This is not a single-project role: in the longer term, the work enables many teams, giving you a hand in shaping Sievo’s data-driven future as a whole.
Our salary range for an Cloud Data Engineer is based on the job level:
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.
You’ll be building the backbone of Sievo’s key data asset — 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 data engineering to turn data into dependable, production-grade capabilities.
We offer a relocation support package for exceptional candidates.
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.