Lead Data Integration Engineer

Job Description

We are looking for an experienced Lead Data Integration Engineer to join our team. The ideal candidate has at least 5 years of experience in data management, storage, modeling, analytics, migration, and database design. As a Tech Lead/Team Lead, you will design and implement innovative data integration solutions, contribute to cloud solution architecture, and lead a high-performing team to ensure best practices are followed. Your deep expertise in cloud environments, data warehousing solutions, and data security will help drive the success of our projects.

Feel free to work remotely from anywhere across Lithuania or connect with colleagues at our Vilnius and Kaunas offices.

• Lead a team of engineers, providing technical leadership and mentorship
• Design and implement data integration solutions, model databases, and build scalable data platforms
• Work with classic Data technologies and tools (Databases, ETL/ELT, MDM tools, BI platforms) as well as implement modern Cloud or Hybrid data solutions
• Contribute to Cloud Solution Architecture, select the right toolset, and serve as a role model for the team
• Collaborate with product and engineering teams to define technical requirements, evaluate new features, and drive architectural decisions
• Build partnerships with architects and key stakeholders within the organization
• Perform detailed analysis of business problems and technical environments to design high-quality solutions
• Participate in code reviews and testing to ensure adherence to best practices
• Foster a high-performance engineering culture, oversee team members, and provide technical guidance
• Write and maintain project documentation, including high-quality technical documentation and use cases

Requirements

• 5+ years of experience in Data Management, Storage, Analytics, Migration, and Database Design
• Proven ability to lead technical teams and mentor engineers
• Expert knowledge of Cloud environments (AWS, Azure, GCP) and experience with multiple cloud providers
• Deep expertise in cloud data warehousing solutions (Redshift, Azure Synapse Analytics, Google BigQuery, Snowflake, etc.)
• Experience designing and implementing Data Integration, Data Analytics & Visualization, and Cloud Migration solutions
• Expertise in Data Integration tools (Azure Data Factory, AWS Glue, GCP Dataflow, Talend, Informatica, Apache NiFi, KNIME, SSIS, etc.)
• Strong understanding of Relational Databases (MS SQL Server, Oracle, MySQL, PostgreSQL) and the ability to articulate the pros and cons of different solutions
• Production coding experience in one of the data-oriented programming languages (SQL, Python, SparkSQL, PySpark, R, Bash, Scala)
• Advanced knowledge of Data Security (Row-level security, auditing, etc.)
• Experience with data modeling, including OLAP, OLTP, ETL, DWH, Data Lake, Delta Lake, and Data Mesh methodologies
• Strong knowledge of integration patterns, CDC methods, micro-batching, and delta extracts
• General understanding of Housekeeping processes (logging, monitoring, exception management, archiving, retention policies, hot/cold data)
• Deep understanding of Data Lineage, Metadata Management, and Data Traceability concepts
• Ability to create high-quality design documentation and maintain audit records
• Compliance awareness (PI, GDPR, HIPAA)
• Experience in direct customer communication and ability to present technical solutions effectively
• Experience across various business domains
• English proficiency for professional communication

Company offers

• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
• World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
• Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more