Data Engineer
At a glance
Mid-level Data Engineering role at veriff. Tallinn.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build governance across the data lake and warehouse, including access, personal data, retention and deletion
- Own data governance or cost projects from planning through production, with support from senior engineers
- Tune queries and compute to help keep warehouse costs steady or lower
- Learn how product data moves into the lake and warehouse, then ship production changes
What you bring
- You have built and operated data pipelines used in production
- You bring strong SQL and Python skills
- You have hands-on experience with a cloud data platform, ideally AWS
- You have worked with sensitive or personal data and prioritize security
Who this fits
This mid-level role suits someone ready to own data projects end to end while learning from senior engineers. The team is based mostly in Tallinn, and the role offers flexibility to work from home.
From the employer
About the team
Data Engineering owns Veriff's analytical data platforms: a Data Warehouse (AWS Redshift, dbt, Airflow, Cube) and a Data Lake (S3, Glue, Athena) running across EU and US regions. We serve analysts, data scientists, ML, and product teams. We are a small, senior team based mostly in Tallinn. Because Veriff handles identity data, our job is to make data easy to use while keeping it secure, compliant, and cost-efficient.
The opportunity
We are moving towards a governed lakehouse that teams can use self-service. You will join our Data Engineering team and work closely with senior engineers. Your initial focus will be governance across both platforms: access control, handling of personal data, data lifecycle and deletion, and platform cost. You will own projects end-to-end, with support and mentoring from the team.
What you'll achieve in your first 3 months
- Learn how Veriff works and how data flows from our product into the Data Lake and Data Warehouse
- Get comfortable with our architecture and tooling, and ship your first changes to production
- Start your first project in data governance or cost optimization
What you'll achieve by 6 months
- Deliver your first project end-to-end
- Help keep Data Warehouse costs flat or lower through query and compute tuning
- Become a go-to person for data governance across the Data Lake and Warehouse
What you'll bring — essential
- Experience building and running production data pipelines
- Strong SQL and Python
- Hands-on experience with a cloud data platform, ideally AWS (S3, Glue/Spark, Athena/Trino, Redshift)
- Experience working with sensitive or personal data, and a security-first mindset
- Ownership: You take a project from idea to production and communicate clearly along the way
Nice to have
- Redshift, Lake Formation, or lakehouse / open table formats (Iceberg, Delta, Hudi)
- dbt and Apache Airflow
- GDPR data deletion, data lifecycle, or metadata/catalog tools
- Flexibility to work from home
- Stock options that ensure your share in our success
- Extra recharge days on top of your annual vacation
- Extensive medical, dental, and vision insurance to ensure you’re feeling great physically and mentally
- Learning and Development & Health and Sports budget that you are free to tailor to your own needs
- Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary
We are an Equal Opportunities employer committed to a diverse and representative team. Different opinions, perspectives, and personalities push us forward. We want to hear from people who are passionate about their work and align with our values. Regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability. We also know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates - so rest assured, whoever you are, we want to hear from you! Please take the time to read our Recruitment Privacy Notice, which explains how we collect and process your data for recruitment-related activities in accordance with applicable laws. Please read the information carefully. By submitting the application with the required information, you acknowledge that Veriff processes the information for recruitment purposes. Please be informed that in the final stage of the recruitment process, we may request that you undergo identity verification. For more information, please see Recruitment Privacy Notice. #TAL
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.