Data Engineer Consultant

We Love #data.

We are looking for an experienced engineer with a strong foundation in databases, SQL and data integration, combined with experience or exposure to modern cloud data platforms and architectures.

You will work with a diverse technology landscape, from enterprise databases and data integration platforms to cloud data warehouses, lakehouse environments and AI-ready data platforms, contributing across the full lifecycle of data projects.

The role combines hands-on engineering, problem solving, solution design and direct collaboration with customers and technical teams. We also value people who are curious about AI and Generative AI and want to understand how these technologies can improve both the solutions we build and the way we work.

What You'll Do

· Work with technical and business stakeholders to translate requirements into effective data solutions

· Analyse and integrate heterogeneous data sources, including databases, enterprise applications, files and APIs

· Design, develop and optimise ETL/ELT pipelines and data integration workflows

· Work extensively with databases, including data modelling, advanced SQL and performance optimisation

· Design and develop data warehouse, cloud data warehouse, data lake and lakehouse solutions

· Implement data quality, validation and monitoring mechanisms

· Work with modern data platforms such as Snowflake, Google BigQuery and Databricks

· Troubleshoot complex data, integration and performance issues

· Contribute to technical design and architecture decisions

· Apply good engineering practices including Git, testing, documentation and deployment automation.

· Explore how AI and AI-assisted tools can improve data engineering, productivity and the solutions we deliver

· Contribute to building AI-ready data platforms, ensuring that data is reliable, accessible, well-structured and appropriately governed for analytics and AI use cases

· Collaborate directly with customers and technical teams throughout project delivery

What We're Looking For

• Strong experience in Data Engineering, Data Integration and Data Warehousing

• Advanced SQL skills and strong knowledge of relational databases, data structures and query optimisation

• Hands-on experience developing ETL/ELT processes and data pipelines

• Experience with enterprise data integration tools

• Solid knowledge of data modelling and data warehouse concepts

• Experience integrating data from databases, files and APIs

• Experience working with large datasets and solving performance challenges

• Knowledge of Python for data engineering and automation

• Experience or exposure to cloud data platforms and modern data architectures

• Strong analytical and      problem-solving skills

• Good communication and customer-facing skills

• Fluent English

• Knowledge of AI/Generative AI or a strong desire to understand, learn and apply AI in day-to-day engineering and data solutions

Relevant Technology Experience

We don't expect you to know every technology. Strong data engineering fundamentals and experience with a combination of the following are what matter:

· Databases & Cloud Data Warehouses: Rocket Vertica, Snowflake, Google BigQuery, Oracle, Microsoft SQL Server, PostgreSQL, MySQL

· Data Integration: Qlik Talend, Informatica, SSIS or comparable ETL/ELT platforms

· Modern Data Platforms: Databricks, Apache Spark, Data Lake/Lakehouse architectures, Azure, AWS or Google Cloud Platform

· Experience with Snowflake, BigQuery and/or Databricks is particularly relevant for this role

Nice to Have

• Experience with orchestration or streaming technologies such as Airflow or Kafka

• Knowledge of data governance, metadata and data lineage

• Experience with cloud migration or data modernisation projects

• Exposure to CI/CD practices for data engineering

• Exposure to AI/ML or Generative AI projects and AI-assisted development tools

• Experience working in consulting or customer-facing environments