ABOUT REIZ TECH
Reiz Tech is more than just an IT company. We are an IT service provider supporting clients throughout their business lifecycle. With a growing global presence in over 30 countries and regions, we are united in delivering custom software development, application support and maintenance, and much more. Our talented team collaborates remotely, with decentralized leadership to enhance communication, decision-making, and flexibility.
ABOUT THE ROLE
Join the Data Platform Engineering team to contribute to building a state-of-the-art data platform for our client, leveraging various open-source technologies and features. As a Senior Data Platform 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.
We are considering candidates located in Lithuania only.
ABOUT THE CLIENT
Our client is a leading financial institution with a brand that encompasses various data domains, processes, and technology.
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.
Continuously monitor and improve the performance of data systems, ensuring they are optimized for speed, reliability, and scalability.
Ensure data quality and integrity by establishing data governance best practices, including data validation, transformation, and security protocols.
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
5+ years of experience in data engineering, data architecture, or a similar technical role.
Proven experience with large-scale data systems and building data pipelines.
Proficiency in programming language Python.
Knowledge of SQL for working with databases.
Experience with ETL processes and tools, in this case, Apache Airflow.
Familiarity with version control systems like Git for code collaboration and tracking changes.
Experience with cloud platforms (AWS, Google Cloud Platform, Microsoft Azure) and their data services.
Experience in working with Docker.
Understanding of data warehouse concepts and experience working with dbt.
Strong analytical skills, with the ability to solve complex technical issues and optimize data systems.
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.
Eagerness to learn and adapt to new technologies and industry trends in data engineering.
Familiarity with Agile methodologies and ability to work in a collaborative team environment.
Proficiency in English.
Willingness to learn and share expertise with others.
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, and two paid psychologist consultations.
Compensated professional development opportunities, including courses, seminars, certificates, conferences and language learning.
Internal events like Reiz Tech Talks and Learning Lunches.
Team-building and victory celebration 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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