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EC Markets

Senior Data Engineer

EC Markets

. Lead the evolution of EC Markets’ Snowflake-based Data Lakehouse .

Posted 10/22/2026full-timeVilnius • LatviaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Snowflake-based Data Lakehouse architecture, data modeling, and ETL/ELT pipeline development, ensuring compliance with FCA and GDPR standards. Proficient in SQL, DAX, and Power BI for operational reporting and data visualization.

Highest-signal resume keywords
Snowflake Data Lakehouse DesignExpert SQL and Data ModelingPower BI DevelopmentETL/ELT Pipeline DevelopmentData Governance and Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLData ModelingETLELTDAXDbtData AnalysisData VisualizationData GovernanceData Integrity
Soft Skills
Excellent CommunicationBusiness Requirement Translation
Tools & Technologies
SnowflakePower BIDbtPower QueryTabular EditorDAX StudioAWSTerraformGitMicrosoft Fabric
Industry Keywords
Financial ServicesTradingFintechData EngineeringAnalytics EngineeringGDPRFCA

Tech Stack

Tools & technologies
AWSETLPythonSQLTerraform

About the role

Key responsibilities & impact
  • Lead the evolution of EC Markets’ Snowflake-based Data Lakehouse
  • Own a Snowflake-centric Data Lakehouse integrating structured, semi-structured and unstructured data
  • Develop and support ETL/ELT pipelines ingesting and transforming data from trading, CRM, finance, risk and external APIs
  • Implement data models, schemas and transformation frameworks for analytical and regulatory use cases
  • Apply best practices in data versioning, orchestration and automation
  • Ensure scalability, data lineage and governance across the data lifecycle
  • Build and own Snowflake semantic models using DirectQuery and Import
  • Develop operational reports, dashboards and data extracts for Trading, Finance, Marketing, Compliance and Operations
  • Maintain data integrity, privacy and security aligned with FCA and GDPR requirements
  • Monitor and optimise query performance and storage efficiency
  • Partner with business units to capture data requirements and translate them into technical solutions
  • Support regulatory, management and operational reporting through structured data models
  • Report to the Head of Tech

Requirements

What you’ll need
  • 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, including star/snowflake schemas and dimensional modelling
  • At least 2 years writing dbt models in production
  • Experience with dbt 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, including time intelligence, variables, virtual relationships, calculation groups, RLS/OLS and incremental refresh
  • Experience with Power Query / M, Tabular Editor and DAX Studio
  • Strong SQL on Snowflake
  • Working understanding of warehouse sizing, clustering, query profiles and cost levers
  • 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
  • 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
  • Nice to have: Python or another modern scripting language
  • Nice to have: AWS, Terraform, Git / GitHub Actions
  • Nice to have: Power BI Embedded or Microsoft Fabric
  • Nice to have: Microsoft Fabric Direct Lake, Snowflake Cortex, Claude.ai connector or other AI-on-warehouse patterns

Benefits

Comp & perks
  • Annual performance bonus under the Group bonus scheme
  • Employer pension and social security contributions in line with statutory requirements
  • Supplementary health insurance
  • 20 working days of annual leave plus public holidays
  • Company-provided hardware
  • Annual learning and certification budget, including Snowflake, dbt and Microsoft
  • Reasonable adjustments available at any stage of the recruitment process