Senior Data Engineer - TLP Consultancy Ltd : Job Details

Senior Data Engineer

TLP Consultancy Ltd

Job Location : Epsom, UK

Posted on : 23/08/2024 - Valid Till : 22/01/2025

Job Description :

Senior Data Engineer

  • £65,000 to £75,000
  • Permanent
  • Near Epsom, Surrey (location is most easily reached by own transport)
  • Hybrid working (3 days a week in the office)
  • Generous benefits package (Performance related bonus, Pension, access to their car scheme, Birthday voucher, Workplace Nursery Benefit & Cycle Scheme, holiday purchase scheme, discounted onsite gym membership, subsidised Café and Canteen, 25 days holiday + all bank holidays)

Are you a Data Engineer, ready to take your skills to the next level? Do you excel at designing data architectures that power business insights? Are you detail-oriented, with a knack for creating elegant, efficient code that’s as reliable as it is innovative?

If that sounds like you, we have a fantastic opportunity for you. Join us as a Senior Data Engineer at a global automotive organisation, voted one of the Sunday Times Top 100 Companies to Work For in the UK, and make a real impact as part of our BI & Analytics team.

What You’ll Be Doing:

  • Collaborating & Innovating: Work closely with Product Owners, SMEs, and users to gather, analyse, and document requirements, ensuring our solutions align with business goals.
  • Data Mastery: Analyse, model, and design data warehouse solutions using industry best practices, focusing on data quality and integrity.
  • End-to-End Development: Architect, design, develop, and deploy cloud-based data & analytics solutions on the Microsoft Azure platform.
  • Reporting Excellence: Design and build dynamic reports and dashboards using Power BI to drive business decisions.
  • Agile Participation: Engage in sprint planning, daily stand-ups, and retrospectives, ensuring seamless project delivery.
  • Mentorship: Lead and support your team, conducting code reviews and guiding them towards excellence in coding standards and best practices.
  • Continuous Improvement: Develop CI/CD pipelines and implement DevOps practices to support robust and frequent deployments.
  • Support & Maintenance: Monitor and support your solutions, ensuring reliability and performance for our global brand.

Why You’ll Love Working Here:

  • Work in an empowered environment where your self-organizing team collectively owns processes, decisions, and commitments to achieve business goals.
  • Experience continuous career growth through a co-created personal development plan, with ongoing training, certifications, and skill-building opportunities.
  • Engage with cutting-edge technology, delving into Microsoft & Azure through research, development, and hands-on projects to stay ahead in the industry.

Essential Qualifications & Experience:

  • Educational Background: Bachelor’s degree, level 6 apprenticeship, or equivalent in Data Analytics, Software Engineering, or a related field.
  • Proven Expertise: 5+ years of experience in BI & Analytics delivery, with a solid background in data engineering and business intelligence.
  • Technical Prowess: Strong skills in data analysis, design, and modelling techniques, with a particular focus on SQL and cloud-based technologies.

Desirable:

  • Certifications: Relevant Microsoft & Azure certifications such as Azure Data Engineer Associate or Power BI Data Analyst Associate.

Technology Stack & Skills:

  • Utilize Microsoft Azure as the primary platform.
  • Engage with data engineering tools such as Data Factory, Data Flow, Databricks, ADLS Gen 2, Azure SQL, Synapse, and Analysis Services.
  • Develop and manage reporting solutions using Power BI.
  • Apply development and scripting skills with SQL, DAX, Python, C#, PowerShell, and ARM.
  • Work with M365 tools including SharePoint and Power Apps.
  • Implement CI/CD practices through Azure DevOps and GitHub Actions.
  • Demonstrate strong technical skills across various programming languages and platforms, with a focus on cloud technologies and data visualization tools.

Salary : 65000 - 75000

Apply Now!

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