Data Engineering Expert

Do you want to join a well-established bank with a start-up culture? No, we’re not joking!

We, at tbi, have been one the most profitable banks for years and we are growing at a fast pace. We’re a bank with a long history of success that operates as a start-up and we’re always on the lookout for new opportunities to grow our business. How do we do that?

It's all about our people. Our team is made up of brave, passionate and caring people who don’t just want to follow the same path – we want to transform into mobile-first, state-of-the-art lifestyle ecosystem. Our colleagues love working here – 80% of them would recommend tbi as an employer to their friends and family. Our people are engaged in challenging and meaningful work, inspired to grow their potential and career, encouraged to learn and empowered to take decisions. That’s not corporate babble, it’s what our people say.

We are looking for a customer-oriented Service Desk Technician to provide first-line IT support to internal users. The role focuses on resolving incidents, supporting Microsoft 365 environments, and ensuring a smooth user experience.

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  Design, develop, and manage scalable data warehouse and data lake systems, both on-premises and in the cloud;

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  Implement and maintain data modeling frameworks using UML and other design tools;

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  Build and maintain ETL/ELT data pipelines to integrate diverse data sources;

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  Ensure real-time and batch data ingestion, transformation, and loading;

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  Ensure data accessibility, performance, and usability by optimizing query performance and addressing latency issues;

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  Build and optimize data validation processes and analytical tools to support data-driven decision-making;

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  Develop data governance methodologies, including data glossary, security protocols, and access management;

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  Ensure compliance with internal and external data standards and regulations;

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  Collaborate with cross-functional teams (data science, business intelligence, product management) to understand business needs and translate them into technical specifications;

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  Provide technical guidance and mentorship to junior data engineers;

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  Design and implement monitoring and alerting systems to ensure data quality, system stability, and optimal performance;

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  Proactively address technical challenges and system limitations to prevent downtime ;

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  Hands-on experience with DBT for data transformation and data modeling.

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  Experience with Streamlit for developing data-driven applications and analytical solutions.

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  Familiarity with Snowflake Openflow and modern data ingestion frameworks.

• • Bachelor’s degree in Computer Science, Data Engineering, or similar field;

  • 3+ years of related work experience;

  • Proven experience managing cloud-based and on-premise data systems (AWS, Azure, etc.);

  • Proficiency in SQL, Python, and ETL tools like Azure Data Factory and Snowflake;

  • Strong knowledge of data modeling (Kimball, Inmon) and database design;

  • Hands-on experience with data transformation tools;

  • Proficient in Power BI, Tableau, or similar BI tools for reporting;

  • Experience with cloud data services (e.g., Redshift, BigQuery, Snowflake);

  • Familiarity with data orchestration tools like Apache NiFi, Luigi, or Prefect;

  • Experience with CI/CD pipelines and DevOps tools (especially Azure DevOps);

  • Knowledge of Git and collaboration platforms (GitHub, GitLab, Bitbucket);

  • Fluent English skills (both written and spoken);

  • Certifications in cloud platforms (e.g., AWS Data Analytics, Google Cloud Data Engineer) is advantage;

  • Excellent communication skills to explain technical concepts to stakeholders;

  • Strong analytical and problem-solving skills.