JOB ROLES

The Senior Data Engineer reports to the Head of Platform Engineering and works closely with engineering, product, and business teams.

What you’ll do

• Design, build, and maintain reliable, scalable data pipelines and data models that power product features, analytics, and internal decision-making with clear ownership over quality, consistency, and reliability.

• Contribute to the secure handling of customer personal data and compliance with applicable data protection regulations throughout its lifecycle.

• Help establish and follow best practices for data governance, documentation, and data access.

• Continuously improve the company’s data tooling, architecture, and processes, proposing and implementing changes where they add value.

• Collaborate with product engineers, analysts, and business stakeholders to translate requirements into well-designed data solutions.

• Lead the design of significant components of the data platform, making architectural decisions that balance short-term delivery with long-term scalability.

• Set technical direction for data modelling, pipeline design, and tooling choices within your area of ownership.

You’d be a great fit if you have

• Solid experience building and operating production data pipelines (ETL or ELT) and transformation layers using tools like dbt, Airflow, Dagster, or similar.

• Strong SQL skills and a good command of at least one general-purpose language used in data engineering (e.g. Python).

• Experience with cloud data warehouses or lakehouses (e.g. Snowflake, BigQuery, Redshift, Databricks) and an understanding of how to model data for both analytics and product use cases.

• Understanding of data modelling techniques (dimensional modelling, normalised models, event-based models) and when to apply them.

• A track record of making sound architectural decisions and delivering larger data initiatives end-to-end.

• Experience mentoring engineers and influencing technical direction beyond your immediate tasks.

• Comfort operating with a high degree of autonomy, shaping ambiguous problems into clear plans, and collaborating effectively within and across teams.

• Awareness of data protection and security considerations when working with customer data.

Do not see everything in this job ad as a “must have” but rather as a guiding list of what we’re looking for. We know that no candidate will be the perfect match for all we’ve mentioned in this posting, so don’t be afraid to apply if you feel you’re close to the brief but not “spot on”.

Here’s what awaits you at Scoro

• Possibility to Make an Impact: Be part of a growing company where you’ll work on a meaningful, globally used product that helps businesses streamline their workflows and achieve more.

• Monthly Gross Salary: Depending on experience, the range is 5800-7000euros before taxes.

• Stock Options Package: Be part of Scoro’s growth and share in our success.

• Health Benefits: Three paid medical days, option to choose between health insurance or Stebby compensation, and mental health services.

• Hybrid Work: We don’t have mandatory office days. Join us in our cosy Tallinn office, or work from wherever you feel most productive.

• Annual Leave: You’ll get 28 working days of paid vacation – not calendar days, as is usually the case in Estonia. That’s over five weeks off, with the flexibility to take time off one day at a time or in longer breaks.

• Loyalty Days: 1–5 extra holiday days per annum based on tenure.

• Continuous Learning: Invest in your growth with training, an individual budget for books and courses, and unlimited access to Udemy.

• Community and Activities: Connect with teammates through on-site and hybrid events, employee-led initiative groups, and fun sports activities.

• Global Gatherings: Meet the entire Scoro team at our bi-annual company-wide events in Tallinn.

Are you interested in this position?

Apply by clicking on the “Apply Now” Button below!
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