You will own the vision for how we collect, organize, govern, and leverage our data assets, so that we can productionise them and provide insights to our customers that they could not get anywhere else. You'll build and lead a small but growing team of Data and Database Engineers and work cross-functionally with your teammates from Product Technology, and the rest of business, to turn raw data into strategic value.
What You'll Do
- Define and execute the company's data platform strategy, with a focus on unifying disparate data sources into a scalable, reliable data lake /lakehouse architecture
- Architect and oversee the build of a unified data platform spanning on-prem, cloud, and customer-side environments
- Evaluate, select, and implement the right tools and platforms (e.g.,Snowflake, DB2, dbt, Airflow or equivalent)
- Stay hands-on! Contribute directly to design decisions, data modeling, pipeline development, and platform builds alongside the team
- Lead, grow, and mentor a Data team. You are the one to set the direction and its expansion
- Define and enforce data governance, quality, and security standards across all data environments
- Partner with the CPTO, Technology Director and Senior Leadership to translate business needs into data infrastructure investments and roadmaps
- Establish observability and monitoring practices to ensure platform reliability and data integrity
- Drive a culture of data democratization by making data accessible, trustworthy, and actionable across the organizationand to our customers
- Work with the CPTO and Product Lead to create a roadmap that provides practical, well thought out, but ambitious value to our customers
What You Bring
- 10+ years of experience in data engineering, data architecture, or a related field, with at least 2–3 years in a senior leadership or director-level role
- Proven experience designing and building unified data platforms or data lake/lakehouse solutions in complex, multi-environment settings (on-prem + cloud + edge/customer-side)
- Deep hands-on expertise with enterprise data platforms such as Snowflake, IBM DB2, Databricks, Redshift, BigQuery, or similar
- Strong background in data modeling, ETL/ELT pipeline design, and large-scale data architecture
- Experience managing and developing engineering teams, with a track record of hiring, coaching, and retaining strong technical talent
- Ability to operate at both the strategic and execution level - this is explicitly a hands-on role
- Solid understanding of data governance, security, and compliance best practices.
Bonus Points For
- Experience working with distributed or hybrid data environments where data lives partially on customer infrastructure
- Familiarity with modern data stack tooling: dbt, Apache Airflow, Spark, Kafka, or similar
- Exposure to data mesh or data fabric architectural patterns
- Background in building self-serve analytics capabilities and BI tooling (e.g., Looker, Tableau, Metabase)
- Experience in a scale-up or growth-stage company where building from scratch is the norm
- Knowledge of cloud platforms (AWS, GCP, or Azure) and their managed data services
Working Location
- UK - Remote
- Zagreb (Croatia) - Hybrid
- The Hague (Netherlands) - Hybrid
Why You’ll Love Working with Us
- Work in a fast-growing and interesting industry
- Flexible work that best fits your needs and the role
- Competitive compensation with some nice additional perks
- Continuous improvement and learning opportunities to grow your career
- Team activities, not the usual one just to look nice on social media but what our team choose and ask for
- A great team of engaged passionate and helpful people