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 BI Engineer, you will turn raw data from multiple sources into reliable, well-structured insights by modeling data, building dashboards and reports, ensuring data quality and performance, and enabling business teams to make informed, data-driven decisions.
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 - February-March of 2026.
Searching for candidates from Lithuania and Poland only.
RESPONSIBILITIES
Design, develop, and maintain scalable BI dashboards, reports, and data models to support business decision-making.
Partner with stakeholders to gather requirements and translate business needs into clear, actionable analytics solutions.
Build and optimize SQL queries, views, and data models to ensure high performance and accuracy.
Develop and maintain ETL/ELT pipelines to transform raw data into analytics-ready datasets.
Ensure data quality, consistency, and reliability through validation, testing, and monitoring.
Create and maintain documentation for data models, dashboards, and metrics definitions.
Monitor and troubleshoot BI systems and data pipelines, resolving issues proactively.
Support ad-hoc analysis and reporting requests from business teams.
Collaborate with data engineers and analytics teams to improve data architecture and tooling.
Apply best practices for data visualization, dashboard usability, and storytelling.
Continuously improve existing reports and dashboards based on user feedback and evolving business needs.
Ensure compliance with data governance, security, and access control policies.
JOB REQUIREMENTS
3+ years of hands-on experience in Business Intelligence, Data Analytics, or related roles.
Proven experience designing, developing, and maintaining BI solutions in production environments.
Strong understanding of data warehousing concepts (fact/dimension tables, star/snowflake schemas).
Proficiency in SQL (complex queries, performance tuning, optimization).
Experience with BI and visualization tools such as Power BI, Tableau, Looker, or similar.
Strong data modeling skills for analytical and reporting use cases.
Experience working with relational databases (e.g., PostgreSQL, MySQL, SQL Server, Oracle).
Familiarity with ETL/ELT processes and tools (e.g., Airflow, dbt, SSIS, Informatica, or similar).
Experience with cloud data platforms (AWS, Azure, or GCP) and data warehouses (Snowflake, Redshift, BigQuery, Azure Synapse).
Basic to intermediate knowledge of Python or similar scripting languages for data manipulation and automation.
Ability to translate business requirements into scalable BI solutions.
Ability to perform data validation, testing, and troubleshooting.
Strong problem-solving and analytical thinking skills.
Excellent communication skills with both technical and non-technical stakeholders.
Experience collaborating with data engineers, product managers, and business teams.
NICE TO HAVE
Exposure to Agile/Scrum environments.
Prior experience in SaaS, fintech, e-commerce, or enterprise analytics environments.
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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