At Aiimi, we’re looking for a Senior Data Engineer with proven experience in the utilities sector or similar industries to join our growing team.

In this role, you’ll take the lead in designing, building, and maintaining scalable, resilient data platforms that enable advanced analytics and insight-driven solutions. You’ll work directly with our clients and their stakeholders, collaborating alongside Data Scientists and Engineers to design and optimise data pipelines, improve performance, and ensure the highest standards of data quality and availability.

We’re looking for someone with strong technical expertise, excellent problem-solving skills, and the ability to drive and lead data engineering initiatives in fast-paced environments. Your background in utilities or related sectors will give you valuable insight into the challenges of managing complex data landscapes and help you deliver real impact for our clients.

• 5-7 years’ of professional experience in data engineering, software development, or related disciplines.
• Strong proficiency in programming languages such as Python, SQL, and optionally Java or Scala.
• Extensive experience with ETL/ELT tools and data orchestration frameworks.
• Deep knowledge of relational and NoSQL databases, data warehousing, and big data technologies.
• Proven experience with cloud platforms (Azure, AWS GCP) and their data services.
• Strong understanding of data architecture, modelling, and pipeline best practices.
• Experience implementing data security, privacy, and governance policies.
• Excellent communication skills and ability to work with cross-functional teams.
• Experience mentoring or leading Junior Engineers.

• Lead the design, development, and optimisation of scalable data pipelines and ETL/ELT workflows for large and complex datasets.
• Architect and implement data infrastructure solutions that support advanced analytics and machine learning models.
• Collaborate with data science, analytics, and engineering teams to ensure seamless data integration and accessibility.
• Drive performance tuning, monitoring, and troubleshooting of data systems
• Mentor and guide junior data engineers, promoting best practices and code quality.
• Enforce data governance, security, and compliance standards across data platforms.
• Participate in technical planning, solution design, and client engagements.
• Contribute to the automation of data workflows and deployment processes.
• Evaluate and recommend new tools, technologies, and methodologies to improve data engineering capabilities.

• 25 Days holiday (excluding bank holidays) – increasing by a day every 2 years.
• Flexible working options – hybrid.
• Mental health and wellbeing support, including access to counselling.
• Annual wellbeing allowance (e.g. personal training, fitness, wellness apps).
• Up to 10% of your salary in employee benefits, including critical illness cover, life insurance, and private healthcare (post-probation).
• Generous company pension contribution.
• Ongoing professional development and training opportunities.