Data Engineer
Summary
Design, build, automate, and operate data platforms and pipelines for clients across industries like media, gaming, and government, using cloud stacks (AWS/Azure) and DevOps tools.
About the role
As a Data Engineer you get a deep-dive into clients’ data!
We hope you are ready to get your hands dirty with designing, building, automating and operating data platforms and data pipelines. It’s all about putting your mind into automating infrastructure, monitoring and recovery routines. Overall, the key is being curious, solving problems and recognising how to interact with different types of data and people. All the work we do is about helping and guiding our clients, so having a true consultant mindset and interest in supporting sales is what we value dearly. We work across a wide range of challenges, and no two projects look the same.
In our work as consultants we give high fives to agile ways of working and the importance of transparency and trust in teamwork. As a Data Engineer you have talented professionals around you such as data scientists, software developers, designers and of course our clients and their end‑users. You will work with a variety of projects, domains and business cases; Lately, we have been working with data architecture of a media company, building a real‑time chat spam detector for a gaming company, and making data more accessible to a governmental organization.
We are excited to find team member who is already based in the Helsinki or Tampere area and eager to collaborate with our team and customers. We offer a hybrid working mode that allows for flexibility, but it is important that the candidate is located close by one of our Finland offices to ensure seamless collaboration. Please kindly note that, at this time, we are unable to offer relocation opportunities, or we will need to be highly selective in considering such requests.
Here are some practical things we’d love to see in your back pocket
- A few years of work experience in data engineering
- Experience on data stack on AWS (e.g. RedShift, Glue, Athena) or on Azure (e.g. Data Factory, Synapse, Databricks)
- Solid know‑how on building, deploying and orchestrating data infrastructure (e.g. serverless computation, Sagemaker, CI tools, Terraform, or similar tools). You have a dev‑ops oriented mindset.
- Good understanding of databases. Relational databases are most often used, but many projects also employ document databases, key‑value stores, and related technologies.
- Practical software experience from a variety of projects. Python or Java experience is on top of our list right now, but other languages are definitely considered as a plus too!
- Appreciation for a good communication with both the team and the clients. You are fluent in Finnish and English.
Additionally, a strong interest in AI is considered a big plus. We highly appreciate candidates who have explored AI‑related topics through work or personal projects, so feel free to highlight these in your application
Futurice offers you
We support your growth with a wide range of projects, tools, and learning opportunities. Our client portfolio is diverse, offering a variety of challenges and problem spaces that give you room to explore new areas and develop your skills in meaningful ways. You’ll be encouraged and inspired throughout your journey by a community of motivated, multidisciplinary colleagues across development, design, data, AI and strategy.
Perks include
- A hybrid work model that supports flexibility and collaboration
- Free choice of work gear — laptop, phone, tablet, headphones, and more
- Sports and lunch benefit
- Comprehensive healthcare and additional health insurance
- Futurice clubs and free‑time activity groups
- Learning events and internal communities
- Certification programs to support your continued development
You’ll get a thorough local and global onboarding
You’ll get a thorough local and global onboarding, plus your very own Futubuddy to support you throughout your journey with us. And to top it off, you’ll have the chance to join our Onboarding Camp.
Compensation
Your complete compensation package will be discussed in detail during the recruitment process. Our salary model is designed to offer a range of levels based on three factors: skills, responsibilities and impact. We are dedicated to fostering an inclusive and supportive work environment where every employee has the opportunity to thrive and advance in their career and become better versions of themselves.
During the initial interview round, we will discuss the salary range for this position. We offer a fixed salary with the possibility of performance-based bonuses and additional benefits.
What’s it like to work here
Ever since Futurice was founded, we’ve focused on creating a workplace people genuinely enjoy, Mondays included. We’ve built a welcoming culture where trust, kindness, and well‑being matter as much as great work. Our atmosphere is open and warm, whether you’re in the office or working remotely. You’ll quickly feel part of the community where coffee chats, virtual fikas, or after‑work hangouts happen naturally.
Because our culture is shaped by all of us, every day, you’ll have an opportunity to influence how we work, connect, and evolve as a community. Across countries, teams, and time zones, everyone brings their own character, helping shape how we work, connect, and evolve together.
At Futurice, new joiners aren’t expected to fit into a mold. Come as you are, whatever your background. We believe in the power of different perspectives, and diversity is a key part of our success at delivering customer value when they trust us with some of their most challenging and inspiring challenges.
A few years of work experience in data engineering, Experience with AWS data stack (e.g. RedShift, Glue, Athena) or Azure (e.g. Data Factory, Synapse, Databricks), Knowledge of building, deploying and orchestrating data infrastructure (e.g. serverless computation, Sagemaker, CI tools, Terraform), DevOps-oriented mindset, Good understanding of relational and non‑relational databases (document databases, key‑value stores), Practical software experience in Python or Java, Fluency in Finnish and English