Senior Data Engineer

EC Markets

. Lead the evolution of a Snowflake-based Data Lakehouse .

Posted 10/7/2026full-timeSofia • BulgariaSenior💰 €60,000 - €65,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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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, Power BI, and data governance practices to deliver scalable and efficient data solutions.

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 ModelingETLELTDWH DesignDbtPower BIDAXData AnalysisData Visualization

Soft Skills

Excellent CommunicationBusiness Requirement Translation

Tools & Technologies

SnowflakePower Query/MTabular EditorDAX StudioAWSTerraformGitGitHub Actions

Industry Keywords

Financial ServicesTradingFintechData GovernanceGDPRFCA Compliance

Tech Stack

Tools & technologies

AWSETLPythonSQLTerraform

About the role

Key responsibilities & impact

Lead the evolution of a Snowflake-based Data Lakehouse
Integrate structured, semi-structured and unstructured data
Develop and support ETL/ELT pipelines ingesting data from trading, CRM, finance, risk and external APIs
Implement data models, schemas and transformation frameworks for analytical and regulatory use cases
Apply data versioning, orchestration and automation best practices
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, including 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
Python or another modern scripting language is nice to have
Experience with AWS (ECS, S3, IAM), Terraform and Git/GitHub Actions is nice to have
Power BI Embedded or Microsoft Fabric experience, or a credible point of view on when not to use them, is nice to have
Exposure to Microsoft Fabric Direct Lake, Snowflake Cortex, the Claude.ai connector or other AI-on-warehouse patterns is nice to have

Benefits

Comp & perks

Annual company performance bonus under the Group bonus scheme
Employer pension and social-security contributions in line with Bulgarian statutory requirements
Employer-funded supplementary health insurance
25 working days of annual leave plus Bulgarian public holidays
Remote working initially, moving to hybrid with typically 2–3 days per week in the Sofia office once secured
Company-provided hardware
Annual learning and certification budget, including Snowflake, dbt and Microsoft
Reasonable adjustments available at any stage of the recruitment process