Data Engineer
Veriff is hiring a Data Engineer in Tallinn, Estonia. Level rates it ; you can apply on Veriff.
Level's read on this job
- On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
- Level lists 10 other open roles at Veriff.
- The role was posted in the last few days.
AI in this role
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. #LI-LP1 #TAL
How we rate this
Data Engineer at Veriff rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
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