Data Engineer

Data Engineering Consultant

(Hybrid work interaction)

About the Company

We’re partnered with a globally recognised technology consultancy that helps leading brands design, build, and scale intelligent digital platforms. With over two decades of experience delivering engineering-led transformation across multiple sectors, they combine deep technical capability with a people-focused culture.

This is a business where you’ll have the chance to work on complex, high-impact projects that move beyond prototypes into production — creating meaningful solutions for clients and driving real-world change.

About the Role

As a Data Engineering Consultant, you’ll play a critical role designing and delivering scalable data platforms that bridge raw data and actionable insights. You’ll architect modern data solutions, optimise pipelines, and ensure high standards of governance and performance. This is a hands-on delivery role with opportunities to lead client engagements, mentor engineers, and shape best practices.

Key Responsibilities

• Architect, build, and maintain real-time and batch data pipelines to process large, diverse datasets efficiently
• Develop and automate ingestion, transformation, and delivery workflows using tools such as Apache Spark, Databricks, Snowflake, or Airflow
• Collaborate with Data Analysts and Scientists to define requirements, map data flows, and ensure data reliability
• Implement robust validation, cleaning, and monitoring processes across the data stack
• Drive automation around reconciliation, metadata management, and error handling
• Optimise pipeline performance for scalability, resilience, and cost-effectiveness
• Apply security best practices, including role-based access controls and encryption, while ensuring compliance with regulations such as GDPR
• Contribute to technical client engagement, acting as a trusted advisor on data architecture and strategy
• Mentor junior engineers and foster a collaborative, high-performance team culture

Skills & Experience

• Strong programming experience with Python, SQL, Scala, or Java
• Expertise in big data tools and frameworks (e.g., Apache Spark, Hadoop, Databricks, Snowflake)
• Solid understanding of cloud-native data solutions in AWS (Glue, Redshift), Azure (Synapse, Data Factory), or GCP (BigQuery, Dataflow)
• Familiarity with relational and NoSQL databases (PostgreSQL, SQL Server, MongoDB, Cassandra) and dimensional modelling techniques
• Experience with Docker, Kubernetes, Terraform, and CI/CD practices for data workflows
• Ability to design robust data models (dimensional, relational, hierarchical)
• Knowledge of building fault-tolerant, highly available data architectures
• Proven capability in enforcing security controls and documenting data lineage and governance

If this role interests you and you would like to learn more, please apply here or contact us via [email protected] (feel free to include a CV for review).