Ready for a new career chapter where your work can make a meaningful contribution to Lithuania’s future?

I’m Dainius Laukis, and I’m looking for a curious, experienced data professional to join us in shaping the future of data analytics at ILTE.

You’ll be joining a team with an ambitious mission: we are building a modern data platform that is scalable, seamlessly integrated with other systems, and designed to turn data into valuable business insights quickly and reliably.

As a Senior Data Engineer, you will play a key role in ensuring that data from source systems is properly structured, consistently historized, and transformed into a unified, business-friendly data model. In other words, you will be responsible for implementing and evolving our unified business data model.

We are looking for someone who understands the full data journey — from raw source data through transformation and modeling to the business layer. You should be comfortable managing data history using approaches such as Slowly Changing Dimensions (SCD), snapshots, and incremental processing, and be willing to help the team establish clear, scalable standards for data modeling, development, testing, and implementation.

Position: Data Engineering & Analytics Department

KEY RESPONSIBILITIES

• design and maintain scalable data integrations and ETL/ELT pipelines;

• build and optimize data models, including historization, SCDs, snapshots, and incremental processing;

• ensure data quality, reliability, observability, and timely incident resolution;

• establish and promote data engineering standards, best practices, testing, and code quality;

• optimize solutions for performance, scalability, cost, and reliability;

• collaborate with analysts, business stakeholders, and technology teams to deliver business-focused data solutions;

• take ownership of technical solutions and contribute to the continuous improvement of the data platform;

WE EXPECT YOU TO

• have 5+ years of experience in data engineering, including ETL/ELT, data integration, data modeling, and DWH;

• have strong SQL skills and a solid understanding of performance and cost optimization;

• have hands-on experience with data historization, including SCDs, snapshots, and incremental processing;

• have practical experience with GCP or another cloud platform and building scalable cloud-based data solutions;

• have experience with Airflow or similar orchestration tools and dbt or similar transformation frameworks;

• understand data quality, testing, dimensional modeling, and data warehouse architecture;

• take ownership, work independently, and communicate effectively across teams;

• be proactive, curious, and focused on delivering high-quality results;

WHAT WE OFFER

• the opportunity to build your career at Lithuania’s only national development bank, investing in projects that create value for the country and providing the broadest range of financial products for such initiatives;

• the opportunity to contribute to the public good while working alongside a highly skilled team of experienced professionals;

• the opportunity to have a meaningful impact on the development of a modern, scalable data platform and data-driven organization;

• a comprehensive benefits package, including health insurance, accident insurance, additional paid leave, flexible working arrangements, and the opportunity to work remotely not only from Lithuania but also from abroad;

COMPENSATION

The monthly gross salary for this position is 4800-6400 EUR gross

The exact salary offered will depend on your professional experience, expertise, and competencies.

Employees may also be eligible for a variable compensation component, with its amount and payment terms determined in accordance with ILTE’s applicable employee compensation and/or performance evaluation policy.

We guarantee the confidentiality of all candidates throughout the recruitment process.