As a Data Engineer, you will play a key role in designing and delivering robust, scalable data pipelines and enabling trusted, high-quality data across the organisation
We are supporting leading organisations, including financial services clients, in delivering large-scale data transformation programmes, with a focus on data governance, regulatory data and modern cloud-based data platforms. As a Data Engineer, you will play a key role in designing and delivering robust, scalable data pipelines and enabling trusted, high-quality data across the organisation. You will work as part of a multidisciplinary team spanning architecture, data governance and business domains to support the implementation of enterprise data platforms. This role offers the opportunity to work on complex, high-impact programmes, contributing directly to data quality, governance and business insight. Key Responsibilities • Design, build and maintain scalable data pipelines • Ensure data quality, governance and auditability • Work with stakeholders to deliver data-driven solutions • Optimise data flows and ETL processes • Support cloud-based data platform development Skills and Attributes • Bachelor’s and/or master’s degree in computer science, engineering, mathematics, or another relevant subject • 3+ years of experience in data engineering, data platforms or ETL development • Strong proficiency in SQL and relational databases • Experience with ETL tools and data pipeline development • Knowledge of data modelling and data warehousing concepts • Experience with cloud platforms (Azure preferred) • Ability to work with structured and unstructured data across modern and legacy platforms • Strong problem-solving and communication skills Certifications (optional) • Microsoft Certified: Azure Data Engineer Associate • Databricks Data Engineer Certification • Snowflake Certification
If multiple Education and Language Profiles are defined, please note that you must fit at least one of them, but not necessarily all.
| Subject | Level | Grade |
|---|---|---|
| INFORMATION TECHNOLOGY | GRADUATE | N.A. |