data engineer in accounting

Menzies is an accounting firm with over 1,100 colleagues in the UK. Its data and innovation team builds secure data foundations that support reporting, automation, AI and smarter decision-making across the firm.

• Lead the design and delivery of scalable, resilient data pipelines into BigQuery from internal systems, APIs, databases, files, webhooks and event streams;
• Shape the engineering approach across Google Cloud Platform, including BigQuery, Cloud Storage, Pub/Sub, Datastream, Cloud Composer/Airflow, Terraform and infrastructure-as-code;
• Set and champion engineering standards for data modelling, dbt transformations, testing, monitoring, documentation, deployment, version control and cost optimisation;
• Partner with teams across the firm to turn business needs into scalable, reusable data products using internal and external data sources;
• Embed security, governance and data quality by design, including data lineage, access controls, GDPR compliance, least-privilege security and handling of sensitive information;
• Provide technical leadership by reviewing designs and code, mentoring data engineers and analysts, and strengthening engineering capability across the Innovation Team;
• Enable data delivery through Power BI, automation workflows, AI agents and internal applications;
• Evaluate technology and integration options and make build-versus-buy recommendations balancing business value, security, scalability, supportability and cost;
• Champion data enablement across Menzies and support colleagues in accessing, understanding and using data safely and effectively;
• Help shape the Innovation Team roadmap by prioritising strategic, repeatable platforms and solutions.

• 5+ Years of hands-on experience in data engineering, analytics engineering or data platform roles, including senior or leadership-level work;
• Advanced SQL and Python skills for building reliable, production-ready data solutions;
• Strong experience with cloud data warehouses, ideally BigQuery, and working knowledge of the wider Google Cloud Platform ecosystem;
• Experience with Airflow/Cloud Composer, dbt, Git/GitHub, CI/CD and Terraform or other infrastructure-as-code tooling;
• Understanding of data modelling, dimensional modelling, orchestration, testing, data quality and operational monitoring;
• Experience designing and operating production-grade data pipelines using APIs, databases, flat files, webhooks and message queues;
• Understanding of data security and governance, including GDPR, role-based access, secrets management and responsible handling of sensitive information;
• Ability to turn ambiguous business challenges into clear, pragmatic technical solutions;
• Strong communication and stakeholder management skills, including explaining complex technical concepts to non-technical audiences and influencing decisions;
• Collaborative leadership style with an interest in coaching others, sharing knowledge and raising engineering standards;
• Ownership, sound judgement and a delivery mindset with a focus on quality, security and risk;
• Nice to have: A degree or equivalent experience in computer science, data engineering, software engineering, mathematics, statistics or a related technical discipline, Google Cloud or dbt certifications, experience in professional services, finance, accounting, legal, tax, audit or another regulated environment.

• Private medical cover, pension matching and enhanced parental leave;
• Career development, learning opportunities and career coaching;
• Agile working;
• Volunteering days and wellbeing initiatives;
• Occasional travel to other Menzies offices for workshops, discovery sessions, implementation support and team meetings.