Data Engineer

Associate Director – Data & AI Recruitment

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Join a global technology consultancy with a reputation for delivering complex data and AI solutions across enterprise‑scale platforms. The business partners with leading brands across finance, healthcare, retail, and more, helping clients transform raw data into strategic value through smart, scalable infrastructure.

As a Data Engineering Consultant, you’ll sit within a highly skilled team responsible for designing and implementing modern data architectures—focusing on data pipelines, transformation layers, governance frameworks, and real‑time streaming systems. You’ll work directly with cross‑functional teams to help deliver production‑grade data platforms from first principles.

What You’ll Be Doing

• Build and maintain cloud‑based data pipelines and architecture for both streaming and batch use cases
• Use platforms like Databricks, Snowflake, Spark, and Airflow to orchestrate ingestion, transformation, and delivery layers
• Collaborate with analysts, data scientists, and architects to ensure alignment of data design with business needs
• Optimise data systems for scalability, observability, and cost‑efficiency
• Implement robust governance protocols, including RBAC, data lineage, and compliance practices (e.g., GDPR)
• Apply automation to metadata handling, validation processes, and anomaly detection
• Contribute to internal standards for CI/CD, code versioning, and engineering best practices
• Guide and mentor more junior engineers, with opportunities to contribute to presales or client‑facing solution design

What They’re Looking For

• Proficient in Python, SQL, and at least one of Scala or Java
• Comfortable working with cloud‑native tools from AWS, Azure or GCP (e.g. Redshift, Synapse, BigQuery, Data Factory)
• Hands‑on experience with big data frameworks (e.g. Spark, Hadoop) and orchestration tools (e.g. Airflow, dbt)
• Familiar with modern data warehousing and modelling approaches, including relational, dimensional, and NoSQL
• Understanding of containerisation, infrastructure‑as‑code and CI/CD workflows (e.g. Docker, Kubernetes, Terraform)
• A good grasp of secure data design, auditability, and access control principles
• Previous consultancy or client‑facing delivery experience is a plus

If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).

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