Senior Data Engineer (10+ yrs) | Snowflake • IBM DataStage • ETL & SQL | SnowPro Core, IBM Solution Developer, Azure Certified | Based in Lithuania – Open across Europe

Senior Data Engineer (10+ yrs) | Snowflake • IBM DataStage • ETL & SQL | SnowPro Core, IBM Solution Developer, Azure Certified | Based in Lithuania – Open across Europe

Senior (+5 years exp.)
5500 €/month Available Now

Key experience

Dimensional Data modeling | Data Warehouse | Data Migration | IBM DataStage | Data Analysis | Database Design | Data Modeling | TSQL | MySQL

Sector Background

E-Commerce, Insurance, Bank&Finance

Preferences

Location
European Union only
Rate expectations
Project assignment: 0 €/h,
Full time position: 5500 €/month
Current status
Available Now

Personal Statement

With over a decade immersed in data engineering, I’ve gained strong experience building reliable data pipelines that support important business decisions. My professional journey spans diverse industries—banking, retail, healthcare—where I’ve tackled complex challenges around data integration, quality, and governance.


My expertise is in IBM DataStage and Snowflake, with hands-on experience using Azure Data Factory and DevOps tools. I focus on turning complex data into clear, actionable insights that teams can trust and use quickly.


Now settled in Vilnius, Lithuania, with a valid TRP, I am seeking new opportunities across Europe where I can contribute my skills and continue learning in dynamic environments. Outside the data realm, I find inspiration in exploring new cultures and understanding how data shapes the stories we tell.


Recent Responsibilities


Built ETL pipelines for (wholesale banking) to load critical customer & compliance data from FCRM and KYC into centralized data lakes, supporting real-time analytics and KPI tracking.


Designed a reusable DataStage framework (pull flags, logging tables, status indicators, controls) for automated monitoring, reliability and proactive issue resolution.


Developed scalable workflows for retail projects, integrating store operations, customer behaviour & sales data to drive KPIs like footfall, basket size, and POS efficiency.


Automated and optimised ETL jobs (using tasks, sequencers, SQL scripts, stored procedures) to reduce processing time and improve performance.


Built pipelines for structured (RDBMS/Data Lake) and semi-structured (CSV, Excel, JSON) data sources, ensuring seamless ingestion and transformation.


Worked closely with Product Owners, BAs, SMEs, Architects & engineering teams to ensure accurate reporting and maintain clear documentation.

Skill Stack

IMPLEMENTATION
Dimensional Data modeling +6 years Data Migration +6 years Data Analysis +6 years Database Design +6 years Data Modeling +6 years
DATA BASE
Data Warehouse +6 years TSQL +6 years MySQL +6 years NoSQL 1-2 years
TECHNOLOGY
IBM DataStage +6 years
PROGRAMMING
Python 5-6 years
ROLE EXPERIENCE
Data Warehouse Consultant +6 years

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