Data Engineer - Milton Keynes

Volkswagen Financial Services (UK) Limited
Milton Keynes
9 months ago
Applications closed

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Data Engineer - Milton Keynes

Data Engineer

Full time permanent

Milton Keynes, Hybrid 2-3 days in the office per week

Closing Date is the 14th April 2025

What\\\'s in it for you?

Salary up to £64,000 per annum, Company Car scheme with a car worth up to £48,250 and 2 family members can take advantage of our loan car scheme, discretionary bonus, healthcare, pension and27 daysholiday in addition to statutory bank holidays plus much more!

We are excited to offer an excellent opportunity to join our team as a Data Engineer, where you will play a pivotal role in supporting our company-wide data initiatives. You will be responsible for modelling, developing, implementing, and integrating data warehouse structures and solutions. This includes designing and maintaining data models, developing and optimising ETL processes ensuring data quality across all systems. You will work closely with cross-functional teams to understand and deliver data requirements for both analytical and operational use. Additionally, you will lead data initiatives and contribute to shaping VWFS future data architecture

Skills and experience you have that enables you to add value:

  • Strong Enterprise Data Management skills across data engineering
  • Experience Auto-Finance industry, providing a foundation to understand financial data complexities and regulatory requirements.
  • Proven stakeholder management expertise, building strong relationships and ensuring clear communication to drive successful outcomes.
  • Exceptional communication abilities, effectively conveying complex ideas and ensuring alignment across teams and stakeholders.
  • Effective problem-solving skills, addressing challenges with analytical thinking and a solution-oriented approach.
  • Good knowledge of \\\'big data\\\' technologies
  • Exceptional organisational and leadership skills, driving team success and maintaining focus on strategic objectives.
  • Experience working in an agile environment, adapting to changing priorities and ensuring continuous delivery.
  • Proven mentoring abilities, fostering growth and development within teams through guidance and knowledge sharing.
  • Tenacious and results-driven approach, consistently focused on delivering high-quality outcomes while overcoming challenges.

Tech Skillset essentials you must have:

  • Expertise in ETL/ELT processes using industry-standard tools, such as SAP Data Services , Informatica (IPS/Cloud) , ensuring efficient data integration and transformation.
  • Extensive knowledge and experience in Oracle SQL/PLSQL, enabling effective data manipulation and query optimization.
  • Proven ability to design and build robust data models that support scalable data solutions.
  • Solid understanding of data warehousing concepts , facilitating the creation of efficient and reliable warehouse solutions.
  • Experience with data pipeline development and optimisation, ensuring streamlined data flows and enhanced performance.
  • Strong skills in data integration, transformation, and data quality management, ensuring high-quality, reliable data for business use.
  • Solid understanding of big data technologies, including Hadoop, for managing large-scale data processing and storage.
  • Ability to work with version control systems, ensuring proper management and tracking of code changes across teams.
  • Experience in Jira, Confluence, and Kanban, supporting effective project management and team collaboration.

It would be great if you had these too but not essential:

  • Knowledge and experience in Python, supporting Data Engineering and Data Science teams with advanced analytics and automation capabilities.
  • Familiarity with cloud platforms such as AWS and Azure for future projects
  • Experience managing data deliveries to regulatory bodies, ensuring compliance with industry standards and regulations.
  • Experience in generating and managing reports using tools such as SAP BusinessObjects/Universe (BO), Tableau, and similar reporting platforms, delivering to business stakeholders.

Key Responsibilities:

  • Lead the design and development of data pipelines, transforming data from various sources and loading it into appropriate data storage systems to ensure seamless data flow.
  • Define and support the creation and maintenance of optimal data pipeline architecture, enabling faster and safer solution delivery .
  • consolidate and optimise large, complex data sets from diverse sources that meet both functional and non-functional business requirements, ensuring data quality and accessibility.
  • Lead the identification, design, and implementation of internal process improvements, to enhance the efficiency of development team.
  • Act as technical lead in automating manual processes and optimising data delivery, driving improvements in operational performance.
  • Build analytics tools that provide actionable insights into key business metrics, empowering stakeholders with data-driven decisions.
  • Collaborate with stakeholders, including Product and System teams, Data Engineers, BI Developers, and AMS colleagues, to resolve data-related technical and support issues.
  • Collaborate with the IT Architecture team to ensure alignment with systems architecture roadmaps, supporting long-term technical goals.
  • Assist the Data & AI Technical Product Owner in planning workloads and backlog prioritisation, ensuring alignment with business priorities and strategic goals.
  • Provide ongoing BAU (Business as Usual) support to maintain the smooth operation and maintenance of data pipelines and solutions.
  • Mentor junior members of the Enterprise Data & BI Development team, ensuring their skills remain current with the latest Data Engineering and BI techniques.

What\\\'s in it for you?

A salary up to £64,000 subject to experience and working 35 hours per week. You\\\'ll also receive an excellent benefits package including tax efficient company car from day one, 2 additional vehicles for family members after 6 months, annual discretionary bonus and salary review, 27 days holiday with the option to purchase more, access to various health & wellbeing services, private medical insurance after 6 months as well as career progression, professional development and access to LinkedIn Learning

About Volkswagen Financial Services

Our mission is straight forward, we want to be \\\'The Key to Mobility\\\'. What does that mean? To make getting from A-to-B as easy and simple for as many people as possible. To truly meet the mobility needs of people in a changing world, our offering goes beyond traditional vehicle financing. We do this by providing a range of finance and aftersales products on Volkswagen Group vehicles, as well as developing innovative mobility products designed to solve real problems and support our customers.

Volkswagen Financial Services is committed to being an inclusive employer and we welcome applications from everyone. Diversity and Inclusion is not just a statement for us and we are nurturing an environment where everyone can be their 100% self. If there is anything we can do to support you being your 100% self during our recruitment process, please let us know and we will support you as best we can

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