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Job Title: Senior Data Engineer
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in United Kingdom.
This is a remote-first opportunity for an experienced Data Engineer to help design and evolve a scalable analytics platform. You will build robust data pipelines using a modern Zero-ETL approach while ensuring data quality, reliability, and availability across the organisation. The role combines hands-on engineering with architectural thinking, performance optimisation, and operational excellence. You will work closely with Data Analysts and business stakeholders to create trusted datasets that power reporting, analytics, and informed decision-making. You will also have the opportunity to improve engineering standards, automation, monitoring, and platform architecture. This is a strong fit for an ownership-driven engineer who enjoys solving complex data challenges in a flexible, collaborative environment.
Accountabilities
- Design, develop, maintain, and continuously improve scalable Zero-ETL data pipelines supporting organisation-wide analytics.
- Build, optimise, and maintain data models and analytical workloads in Amazon Redshift.
- Develop and manage workflow orchestration using Apache Airflow, ensuring reliable and maintainable data processing.
- Integrate data from multiple internal and external sources while maintaining consistency, availability, and reliability.
- Establish and maintain high standards for data quality, accuracy, consistency, and platform availability.
- Monitor, troubleshoot, and resolve data platform issues, taking ownership from initial identification through root-cause analysis and resolution.
- Optimise SQL queries, data processing workloads, and data warehouse performance to improve efficiency and scalability.
- Design scalable data models that support reporting, business intelligence, and analytical use cases.
- Partner with Data Analysts and business stakeholders to deliver reliable, well-structured datasets and data solutions.
- Contribute to improvements in data architecture, automation, monitoring, documentation, and engineering best practices.
- Maintain clear technical documentation covering pipelines, data models, workflows, and platform architecture.
- Participate in technical planning, architecture discussions, code reviews, and Agile development processes.
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Requirements:
- 5+ years of professional experience in Data Engineering or a closely related field.
- Strong expertise in SQL and relational database technologies.
- Hands-on experience with AWS data services, particularly Amazon Redshift and Amazon RDS.
- Proven experience developing, maintaining, and troubleshooting Apache Airflow workflows.
- Strong understanding of ETL concepts, data pipeline design, and scalable data processing.
- Experience designing scalable data warehouse architectures and analytical data models.
- Ability to independently investigate complex production issues, identify root causes, and implement effective solutions.
- Strong understanding of data quality, reliability, monitoring, and operational best practices.
- Excellent communication and stakeholder management skills, with the ability to work effectively with technical and non-technical colleagues.
- Proactive, accountable, and ownership-oriented approach to engineering work.
- Comfortable working in Agile software development environments and contributing to collaborative technical discussions.
- Strong problem-solving and analytical abilities, with an interest in continuously improving systems and processes.
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Benefits:
- Remote-first environment: Work remotely with flexibility designed around distributed collaboration.
- Competitive compensation: Competitive salary with individual performance-based bonuses paid quarterly.
- 28 days of paid annual leave: Generous time off to support sustainable work and personal wellbeing.
- Flexible working hours: Core working hours from 10:00 AM to 3:00 PM in your local time zone, with flexibility outside those hours.
- Performance incentives: Access to referral bonuses and additional flash bonuses.
- Premium equipment: Top-of-the-line equipment provided to support an effective remote setup.
- Annual company retreats: Opportunities to meet colleagues in person and build strong professional connections.
- Sustainability focus: Join a remote-first organisation with a commitment to more sustainable ways of working.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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