Senior Data Engineer in Kraków

Location: Kraków (onsite hybrid)

About EC Markets and the role

EC Markets is an FCA-regulated FX and CFD brokerage with offices in London, Cyprus and Dubai. We are building a next-generation data platform to power trading, operational and marketing intelligence, and are growing our Data Platform team as part of that investment. We are looking for a Senior Data Engineer to lead the evolution of our Snowflake-based Data Lakehouse and establish a modern data ecosystem that supports advanced analytics, regulatory reporting and decision-making across the business. This is a high-impact role for someone with a track record of architecting and implementing scalable data platforms — ideally in financial or trading environments — who can think end-to-end, from ingestion through to management-information dashboards.

What you will be doing

• Architecture & development: Take ownership of a Snowflake-centric Data Lakehouse integrating structured, semi-structured and unstructured data. Develop and support robust ETL/ELT pipelines that ingest and transform data from multiple internal systems (trading, CRM, finance, risk) and external APIs. Implement data models, schemas and transformation frameworks optimised for analytical and regulatory use cases. Apply best practices in data versioning, orchestration and automation using modern data engineering tools. Ensure scalability, data lineage and governance across the data lifecycle.
• Reporting & semantic modelling: Build and own semantic models on top of Snowflake (DirectQuery and Import) using DAX, calculation groups, RLS/OLS and incremental refresh. Develop operational reports, dashboards and data extracts for Trading, Finance, Marketing, Compliance and Operations.
• Data governance & quality: Maintain high data integrity, privacy and security aligned with FCA and GDPR requirements. Monitor and optimise query performance and storage efficiency.
• Cross-functional collaboration: Partner with business units to capture data requirements and translate them into robust technical solutions. Support regulatory, management and operational reporting requirements through structured data models.

What you will bring (non-negotiable)

• Experience in financial services, trading or fintech environments.
• Proven experience designing and delivering a DWH or Delta Lakehouse using Snowflake.
• Expert-level SQL and data modelling expertise (star/snowflake schemas, dimensional modelling).
• At least 2 years writing dbt models in production.
• Comfortable with sources, snapshots, tests, macros, exposures and the medallion (bronze/silver/gold) pattern.
• At least 3 years building production Power BI on enterprise warehouses.
• Expert DAX (time intelligence, variables, virtual relationships, calculation groups), Power Query / M, Tabular Editor, DAX Studio.
• Strong SQL on Snowflake, with a working understanding of warehouse sizing, clustering, query profiles and the cost levers that matter.
• Familiarity with orchestration and transformation frameworks.
• Hands-on experience with data analysis, visualisation and operational reporting tools.
• Excellent communication skills and the ability to translate business requirements into scalable data architecture.

Nice to have

• Scripting in Python or another modern scripting language.
• Experience with AWS (ECS, S3, IAM), Terraform, Git / GitHub Actions.
• Power BI Embedded, Microsoft Fabric, or a credible point of view on when not to use them.
• Exposure to Microsoft Fabric Direct Lake, Snowflake Cortex, the Claude.ai connector or other AI-on-warehouse patterns.

Qualifications

• Degree in Computer Science, Data Engineering or a related field, or equivalent professional experience.
• 5–8 years of hands‑on experience in data engineering and/or analytics engineering.

Compensation & benefits

• Annual performance bonus eligible for an annual company performance bonus under the Group bonus scheme; details shared at offer stage.
• Pension & social security employer contributions in line with statutory requirements.
• Supplementary health insurance.
• Annual leave 20 working days plus public holidays.
• Company-provided hardware; annual learning & certification budget (incl. Snowflake, dbt, Microsoft).

How we hire

• Transparent pay from the start.
• No salary-history questions.
• Gender-neutral process.
• Objective, written criteria.
• Right to information once hired.

Process at a glance: CV screen → recruiter conversation (30 min, incl. salary disclosure) → technical interview with the Head of Data (60 min) → practical exercise (take-home or live, your choice) → final interview with a cross-functional panel → offer. Typical end-to-end timeline: 3–4 weeks. Reasonable adjustments available at any stage — just let us know.

Equal opportunities and how to apply

EC Markets is an equal-opportunities employer. We make hiring decisions on the basis of skills, experience and demonstrated potential, and do not discriminate on the grounds of sex, gender identity, age, ethnicity, nationality, religion or belief, sexual orientation, disability, marital or civil-partnership status, pregnancy or parental status, or trade‑union membership.