Senior Data Engineer

Quick Facts

• Role: Senior Data Engineer

• Focus: Data pipelines, integrations, and analytics tooling (Snowflake, Power BI)

Description

Design, build, support, and maintain scalable, reliable, and secure data solutions that enable timely, data-driven decision-making. Own data pipelines, integrations, and analytics tooling, including Snowflake and Power BI, and modernize legacy integrations. Use AI-assisted tooling to accelerate delivery and improve data quality.

Responsibilities

• Design, build, support, and maintain scalable and secure data pipelines and integrations across the data estate.

• Develop and maintain data models, ETL/ELT pipelines, and analytics solutions using Snowflake, Azure Synapse Analytics, Power BI, and related tooling.

• Ensure quality, performance, and operational support for delivered data solutions, including legacy integrations.

• Champion AI-assisted tooling (e.g., GitHub Copilot, Claude) to enhance development speed, quality, and efficiency.

• Collaborate with Development, Cloud, and Security engineering teams to deliver and operate data solutions securely and reliably.

• Troubleshoot complex data issues across modern and legacy platforms, including data quality, performance, and integration failures.

• Maintain existing legacy data integrations while planning and executing modernization where appropriate.

• Build and maintain Power BI dashboards, reports, and self-service analytics for business stakeholders.

• Engage stakeholders to understand data and reporting requirements and translate them into technical solutions.

• Adopt a security-first approach aligned to governance, privacy, and regulatory requirements.

• Contribute to the evolution of data architecture, standards, and best practices.

• Provide accurate estimates of time and effort and support capacity planning.

• Partner with Cloud and Development teams so data platforms scale effectively within cloud infrastructure.

Requirements

• Minimum 5 years of experience in data engineering, data warehousing, or business intelligence.

• Strong hands-on experience with Snowflake (or an equivalent cloud data warehouse platform).

• Proven Power BI experience, including data modelling, DAX, and report/dashboard development.

• Experience building and maintaining ETL/ELT pipelines and integrations, including legacy systems.

• Practical experience using AI-assisted tooling (e.g., GitHub Copilot, Claude).

• Advanced SQL skills and experience with dimensional modelling, including star schemas.

• Experience working with cloud platforms (Azure, AWS, or GCP) and cloud-native data services.

• Understanding of data governance, data quality, and data security principles.

• Experience collaborating with Development, Cloud, and Security engineering teams.

• Azure Synapse Analytics experience is desirable.

• Fluent English.

Benefits

• Influence over planning of your work, tool selection, and proposals for architectural improvements.

• Opportunity to work on innovative projects incorporating AI and process automation.

• Collaborative, engineering-focused environment with cross-functional engagement.

• Professional development opportunities relevant to data engineering, cloud platforms, and analytics tooling.

• Remote work arrangement and long-term cooperation.

• Luxmed Gold Extended medical care and Multisport Plus benefit.

• Activities to support well-being and health.