Data Engineer

London, ENG, GB, United Kingdom

Job Description

Overview:
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.

Responsibilities:
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.

Essential skills:
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:
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).

Benefits:

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


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Job Detail

  • Job Id
    JD3838923
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    London, ENG, GB, United Kingdom
  • Education
    Not mentioned