Expleo Group

Data Engineer

Company
Location
Derby, England, United Kingdom
Posted At
4/10/2025
Advertise with us by contacting: [email protected]
Description
Expleo is a trusted partner for end-to-end, integrated engineering, quality services and management consulting for digital transformation. We help businesses harness unrelenting technological change to successfully deliver innovations that will help them gain a competitive advantage and improve the everyday lives of people around the globe.

Responsibilities

  • You will collaborate closely with Data Scientists and Architects to build solutions for our customers.
  • You will design and build reporting output utilising one or more tools
  • Implement routines to extract data from databases utilising API’s and SQL.

Essential Skills

  • Experience in CI/CD Automations, Containerization, Model Deployment and Model Monitoring Tools, like: Databricks, Docker, Kubernetes, Azure Machine Learning etc.
  • Experience in Database systems: Data Lake, Delta Lake, SQL Server etc.
  • Data Analysis and Visualization: Pandas, NumPy, Matplotlib, Seaborn, PowerBI etc Tableaux.
  • Experience in Microsoft Azure Cloud Environment & its services such as DevOps, Azure ML etc.
  • Experience in Version Control Systems: Azure Repos, Git.
  • Good communicator discussing technical subjects with non-technical people
  • Accountability: Owns and takes responsibility for the quality and delivery of the assigned tasks

Desired Skills

  • Machine Learning and Deep Learning Frameworks: Scikit-learn, TensorFlow, PyTorch, Keras etc.
  • Communication: Effectively communicates complex technical concepts to a diverse audience including technical, and non-technical stakeholders, both verbally and in writing
  • Collaboration: Works effectively as a part of the team, fostering a supportive and knowledge sharing environment
  • RestAPI knowledge
  • Programming Languages: Python or C#
  • Proficient in DevOps and Software Engineering
  • MLOps Tools: Weights & Biases, Azure Machine Learning, MLFlow
  • Problem solving and critical thinking: Identifies challenges and implements innovative and efficient solutions to address them

Experience

  • Experience in a Data Engineering role.
  • Ability to work in a hybrid environment with at least two days per week in the office
  • Enthusiasm for conducting knowledge sharing sessions and fostering a collaborative team environment
  • Experience in engineering, or software delivery is highly beneficial
  • Experience in developing Data Science and Machine Learning models is a plus
  • Experience in other programming languages such a Java, C# is a plus

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

Advertise with us by contacting: [email protected]
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