Data Engineer

• We are seeking a skilled Data Engineer to design and develop robust data pipelines that support a cloud-based Data Analytics platform. This role plays a key part in transforming the data landscape and enhancing the Data Warehouse Engineering function.
• The successful candidate will contribute to a range of initiatives focused on improving data quality, accessibility, and performance.

• Design and maintain data pipelines, including error-handling, automation, and performance optimisation.
• Resolve data queries by tracing issues to source systems.
• Define and deliver cloud-based data analytics platform requirements using modern EDW tools and practices.
• Maintain clear and accurate team and technical documentation.
• Monitor and improve data quality, consistency, and compliance with standards.
• Apply operational procedures, security protocols, and support frameworks to meet service levels.
• Recommend development tools to improve delivery efficiency and value.
• Document systems, solutions, and processes for database and data engineering deliveries.
• Contribute to IT strategy and architecture development.
• Ensure solution designs comply with relevant policies, standards, and governance.
• Maintain strategic oversight across data engineering components.
• Identify and manage risks and issues proactively.
• Conduct technical quality checks with leads to ensure standards are met.
• Promote lean practices by challenging inefficiencies.
• Support the strategic direction of the IT function with a proactive and positive approach.

• Proficient in Azure Data Factory, Azure Synapse, and Snowflake; experience with SSIS is advantageous.
• Advanced SQL skills, including dynamic SQL for metadata-driven frameworks.
• Strong understanding of relational database principles and data modelling.
• Ability to implement DevOps processes to streamline delivery.
• Excellent communication and documentation skills.
• Resilient and adaptable in dynamic environments.

• Experience in monitoring and optimising database performance.
• Hands-on experience with data engineering tools and frameworks.
• Experience with Redgate SQL Toolbelt, SQL Server, Visual Studio, Team Foundation Services, and Python/PySpark.
• Experience with Azure platforms and various RDBMS systems (SQL Server, Oracle, MongoDB).

• Collaborative working environment – we stand shoulder to shoulder with our clients and our peers through good times and challenges 
• We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects 
• Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses 
• Competitive company benefits
• Always working as one team, our people are not afraid to think big and challenge the status quo

• As a Disability Confident Committed Employer we have committed to:
• Ensure our recruitment process is inclusive and accessible
• Communicating and promoting vacancies
• Offering an interview to disabled people who meet the minimum criteria for the job
• Anticipating and providing reasonable adjustments as required
• Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people

“We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age”. 

We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive

#LI-BM1

#LI-DS1