Senior Data Engineer

EC Markets UK; Warszawa; On-site; PLN 260,000 - 420,000; Full time

Job summary

EC Markets is building a next‑generation data platform to power trading, operational, and marketing intelligence. We seek a Senior Data Engineer to evolve our Snowflake‑based Data Lakehouse and establish a modern data ecosystem for analytics, compliance, and decision‑making across the business.

This high‑impact role requires an experienced engineer who can architect and implement scalable data platforms, ideally with financial/trading domain experience, from ingestion to MI dashboards.

Qualifications

• 5–8 years hands‑on data engineering/analysis experience.
• Financial services, trading, or fintech exposure preferred.
• Expert SQL and data modelling with star/snowflake schemas.
• Proven experience delivering DWH/Delta Lakehouse in production.

Responsibilities

• Own Snowflake‑centric Data Lakehouse architecture and delivery.
• Build and maintain robust ETL/ELT pipelines from multiple sources.
• Define data models, schemas, and transformation frameworks for analytics and regulatory use.
• Apply data versioning, orchestration, and automation best practices.
• Ensure data governance, lineage, security, and compliance across the data lifecycle.
• Develop semantic models on Snowflake and deliver operational reports and dashboards.
• Collaborate with Trading, Finance, Marketing, Compliance, and Ops to translate requirements into scalable data solutions.

Skills

SQL

Data Modeling

DWH/Delta Lakehouse

Power BI

DAX

dbt

Python

Data Governance

Communication

Education

Degree in Computer Science or related field

Tools

Snowflake

dbt

Power BI

Python

Terraform

GitHub Actions

AWS

Job description

EC Markets is building a next-generation data platform to power trading, operational, and marketing intelligence. We are seeking a Senior Data Engineer to drive evolution of our Snowflake-based Data Lakehouse, establishing a modern data ecosystem that supports advanced analytics, compliance, and decision‑making across the business.

This is a high‑impact role for an experienced engineer with a track record of architecting and implementing scalable data platforms — ideally in financial or trading environments — who can talk and think data from ingestion to MI dashboards.

Key Responsibilities

• Assume 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, etc.) 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.

Reports and data visualisation

• 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

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 (Trading, Finance, Marketing, Compliance, Operations) to capture data requirements and translate them into robust technical solutions.
• Support regulatory, management, and operational reporting requirements through structured data models.

Skills & Experience (Non‑negotiable)

• Experience in financial services, trading, or fintech environments.
• Proven experience designing and delivering DWH / Delta Lakehouse using Snowflake.
• Expert level SQL and data modelling expertise (star/snowflake schemas, dimension/al modelling).
• 2+ years writing dbt models in production. Comfortable with sources, snapshots, tests, macros, exposures, and the medallion (bronze/silver/gold) pattern.
• 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. Understand 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 ability to translate business requirements into scalable data architecture.

Skills & Experience (nice to have)

• Ability to create scripts in Python or another scripting language.
• Experience with AWS (ECS, S3, IAM), Terraform, Git/GitHub Actions.
• Power BI embedded, Fabric, or a credible opinion on when not to use them.
• Exposure to Microsoft Fabric Direct Lake, Snowflake Cortex / Claude.ai connector, or other AI-on-warehouse patterns.

Qualifications

• Degree in Computer Science, Data Engineering, or related field.
• 5-8 years of hands‑on experience in data engineering and / or analysis.