Seargin is a dynamic multinational tech company operating in 50 countries. At Seargin, we drive innovation and create projects that shape the future and greatly enhance the quality of life. You will find our solutions in the space industry, supporting scientists in the development of cancer drugs, and implementing innovative technological solutions for industrial clients worldwide. These are just some of the areas in which we operate.
Data Engineer
Vilnius
Lithuania
B2B
Senior
Design, build, and maintain ETL processes and infrastructure necessary for effective data processing, analysis, and integration across various systems
Develop robust and efficient data pipelines to facilitate seamless data flow between systems, ensuring timely and accurate data availability
Implement data validation and cleansing processes to ensure high data quality and integrity throughout the data lifecycle
Define and promote best data engineering practices within the Tribe through collaboration with Chapter Leads, Architects, Engineers, and the Data Engineering Guild
Collaborate with cross-functional teams to identify areas for improvement in existing systems and propose innovative new features
Act as a subject matter expert on Data Engineering within the Tribe, providing guidance and consulting for other squads and engineers on complex solutions
Document data engineering processes, ETL workflows, and pipeline architectures to maintain clarity and facilitate knowledge sharing among team members
Analyze and optimize data processing performance, making recommendations for improvements to enhance efficiency and speed
Set up monitoring processes for data pipelines and ETL jobs, ensuring timely detection and resolution of any issues that arise
Evaluate and recommend data engineering tools and technologies that can enhance team productivity and improve data processing capabilities
Provide training and mentorship to junior data engineers and team members, fostering skill development and knowledge sharing within the Tribe.
Engage with stakeholders to gather requirements and feedback on data engineering solutions, ensuring alignment with business goals and needs
Employment based on a B2B contract
Opportunity to work in a stable, dynamically developing international company
Chance to participate in interesting projects and work with the latest information technologies
Attractive remuneration rates offered
Involvement in the most prestigious international projects
Access to Multisport benefits and private healthcare services
5+ years of experience working as a Data Engineer with a strong understanding of ETL processes, relational databases, and data modeling
Demonstrated leadership experience in an engineering context or a strong inner drive to lead a team of engineers and develop leadership skills
Strong proficiency in programming languages such as Python, Java, or Scala, with a preference for Python as the primary language
Experience working with ETL tools like SSIS, IBM Data Stage, Informatica, or AWS Glue to develop data pipelines that ingest data from structured and semi-structured sources, with a preference for AWS Glue
Familiarity with managing infrastructure, servers, and clusters on both on-premises and public cloud platforms such as AWS, GCP, or Microsoft Azure, with a preference for AWS
Excellent problem-solving abilities, capable of addressing complex data engineering challenges with effective solutions
Strong communication skills, with the ability to explain technical concepts and IT terminology to non-technical colleagues in a clear and understandable manner
Bachelor’s degree or higher in Engineering, Computer Science, Data Science, or a related field
Knowledge of data quality assurance processes and practices to ensure high-quality data outputs and integrity in data handling
Proven ability to work collaboratively within cross-functional teams, engaging with stakeholders to gather requirements and feedback
Willingness to continuously learn and adapt to new tools, technologies, and best practices in the field of data engineering
Understanding of data governance principles and practices to ensure compliance with data management policies and regulations
Experience using version control systems such as Git to manage code and collaborate with other engineers effectively
Familiarity with performance tuning and optimization techniques for data pipelines and databases to enhance processing efficiency
Ability to approach challenges with creativity and innovation, consistently finding effective and novel solutions to complex problems.
Demonstrates a strong commitment to excellence and consistently delivers high-quality work, exceeding performance expectations
A keen interest in learning and experimenting with new technologies, staying updated with industry trends to enhance skills and improve data engineering practices
