MID DATA ENGINEER

ABOUT 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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