Lithuania onlyABOUT REIZ TECH
Reiz Tech is more than just an IT company. We are a trusted end-to-end IT advisor throughout clients’ business lifecycle. We have a growing global presence in more than 30 countries and regions, united to deliver end-to-end IT solutions. Our talents work together remotely, and low leadership levels are decentralized for better communication, decision-making, and flexibility.
ABOUT THE ROLE
Join the Data team to contribute to building a state-of-the-art data platform for our client, leveraging various open-source technologies and features. As a Data Engineer, you will play a key role in supporting the translation of customer requirements into the architecture and design of the data platform. This position covers a broad spectrum of responsibilities: scalable transactions, end-user reports, ETL processes, orchestration solution, and etc.
ABOUT THE CLIENT
Our client is a leading financial institution with a brand that encompasses various data domains, processes, and technology.
ABOUT THE PROJECT
Anticipated start date - 2026 Q1.
RESPONSIBILITIES
Contribute expertise to the overall data eco-system’s engineering best practices, standards, and architectural approaches.
Collaborate in authoring, reviewing, and approving data requirements and designs, including ETL, data movement, pipelines, business intelligence, and analytics.
Work alongside a team of engineers to build and maintain a custom data platform and Master Data platform.
Participate in creating architecture and solution blueprints to meet client requirements.
Collaborate with the project management team to develop the overall implementation solution plan and actively contribute to project life cycle phases within the solution area.
Engage with data integration technologies to design and implement new solutions and processes to support evolving data management strategies.
Work closely with business and technology client representatives to gather functional and technical requirements.
Stay informed about the latest technology trends, particularly in the areas of data platforms.
JOB REQUIREMENTS
3+ years of experience in data engineering.
Proficiency in programming language Python/R.
Knowledge of SQL for working with databases.
Knowledge of data modeling concepts and the ability to design and implement efficient data storage structures.
Experience with ETL processes and tools, in this case, Apache Airflow.
Familiarity with version control systems like Git for code collaboration and tracking changes.
3+ years of experience in working with Kubernetes and Docker.
Understanding of data warehouse concepts and experience working with dbt.
Understanding of cloud-based data storage and processing services.
Knowledge of data quality assurance and governance best practices.
Understanding of data privacy and security considerations.
Effective communication skills to collaborate with cross-functional teams and stakeholders.
Strong problem-solving skills and the ability to troubleshoot issues in data pipelines.
Familiarity with Agile methodologies and ability to work in a collaborative team environment.
Proficiency in English language.
WHAT WE OFFER
Fully remote work with flexible work hours and vacation policy.
A diverse international work environment that promotes inclusivity and collaboration.
Internal mentorship program.
Additional healthcare insurance, loyalty days.
Compensated professional development opportunities, including learning materials and certification exam fees.
Internal events like Reiz Tech Talks and Learning Sessions.
Team-building compensation every quarter.
Participation in local events in Lithuania such as wakeboarding, excursions, and Meet and Eat gatherings.
Ability to change the project you’re working on.
Referral bonuses.
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