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- Tasks: Design and optimise data solutions to drive business insights and enhance operational efficiency.
- Company: Join Yü Group, a leading energy supplier committed to sustainable solutions.
- Benefits: Enjoy 24 days annual leave, learning opportunities, and a supportive work environment.
- Other info: Hybrid work model with excellent career growth and recognition for your contributions.
- Why this job: Be part of a dynamic team shaping the future of data in the energy sector.
- Qualifications: Degree or 2+ years in data engineering; skills in Python, SQL, and cloud solutions preferred.
The predicted salary is between 35000 - 40000 £ per year.
Department: YUG - 9030 - Technology, IT & BI
Employment Type: Full Time
Location: Leicester
Compensation: £35,000 - £40,000 / year
Reports to: Data Engineering Manager
Location: Leicester LE3 5BZ - Hybrid (3 days in the office and 2 days from home)
Working hours: Monday to Friday - 37.5 Hrs
Yü Group Plc is a leading energy supplier in the United Kingdom, committed to providing reliable and sustainable energy solutions to our customers. As we continue to grow and innovate in the dynamic energy sector, we are seeking a highly skilled and experienced professional to join our team as a Data Engineer. As the Data Engineer, you will play a pivotal role in shaping and delivering our data strategy to drive business insights, enhance operational efficiency, and support strategic decision-making. You will be working within a dynamic team of data professionals and collaborating with cross-functional departments to leverage data as a strategic asset.
What We Need from Yü
- Data Strategy and Governance
- Uphold and deliver data strategy aligned with business goals and industry best practices.
- Enforce data governance policies and procedures to ensure data quality, integrity, and security.
- Data Privacy and Compliance
- Ensure data compliance and security needs are met in system construction and access control.
- Apply security measures such as RLS and Column Masking to keep the data secure to the correct parties.
- Data Engineering
- Design, build, and optimise scalable data solutions using Snowflake, Azure Data Services, and DBT for data transformation and modelling.
- Support the Head of Data in managing the project prioritisation, identifying any potential threats to delivery.
- Optimise and validate performance and cost of data workloads within Snowflake (query tuning) and Azure environments.
- Data Sourcing & Pipeline Management
- Use programming language to maintain data sets, databases, tables, data lakes or data warehouses.
- Implement big data tools such as Apache Spark / Kafka to automate data pipelines.
- Develop connections between multiple sources of data with APIs or database connectors.
- Collaboration
- Work closely with cross-functional teams, including IT, finance, marketing, and operations, to understand their data needs and provide strategic guidance.
- Collaborate with the Senior Data Engineer, Data Engineers and Data Analysts to determine design needs.
- Performance Metrics
- Contribute to the Key Performance Indicators (KPIs) related to data quality, analytics, and business impact.
About Yü
If you have what it takes you could be just what we’re looking for...
- Degree educated or 2+ years’ experience in data engineering, data system development or related roles.
- Ability to build, maintain and improve upon data architecture, collection and storage systems.
- Fundamental understanding of core data engineering practices, metadata and SCD application.
- Proficiency in data warehousing (including the Lakehouse concept), relational databases and ETL.
- Ability to build and maintain data architectures, pipelines and sets.
- Working knowledge of key programming languages with preference in machine learning.
- Experience working with Apache Spark, Python, SQL and similar tools / programs.
- Experience working with modern cloud solutions such as Snowflake, Databricks, Fabric preferable.
- Strong knowledge of data governance, architecture, analytics, and emerging technologies.
- Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders.
- Familiarity with regulatory requirements, especially in the area of data protection and privacy.
- Strong understanding of the energy industry and related data challenges or ability to adapt and learn new information effectively and efficiently.
Yü Come First
We have a wide range of benefits for our employees including:
- 24 Days Annual Leave + 1 Day Birthday Leave + Bank Holidays
- Holiday Buy – up to 5 additional days
- Employee Assistance Programme
- Annual Salary Review
- Learning and development opportunities
- Enhanced paternity, maternity and adoption policies
- Yü made a difference Awards.
- 3 days additional annual leave if you get married/civil partnership etc.
- Appointment allowance
- Long service recognition
- Refer a friend payment.
- Company sick pay (subject to length of service)
- New modern facilities
- Death in service and critical illness cover
- Plus, many more
This position does not fulfil the UK Visas & Immigration sponsorship criteria for Skilled Worker, therefore we can only accept applications from candidates who already have an indefinite right to work in the UK.
Data Engineer in London employer: Yu Group
Contact Detail:
Yu Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Yü Group on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about data engineering concepts, especially those mentioned in the job description like Snowflake and Apache Spark.
✨Tip Number 3
Show your passion for the energy sector! Research Yü Group’s projects and values, and be ready to discuss how your skills can contribute to their mission of providing sustainable energy solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team!
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data architecture, programming languages, and any relevant projects that showcase your skills. We want to see how you can contribute to our data strategy!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our goals at Yü Group. Let us know what excites you about working in the energy sector.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in tools like Snowflake, Apache Spark, and Python. We’re looking for someone who can hit the ground running, so make sure we see your technical chops right from the start!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Yü Group!
How to prepare for a job interview at Yu Group
✨Know Your Data Tools
Familiarise yourself with the specific tools mentioned in the job description, like Snowflake, Azure Data Services, and Apache Spark. Be ready to discuss your experience with these technologies and how you've used them to solve real-world problems.
✨Showcase Your Collaboration Skills
Since the role involves working closely with cross-functional teams, prepare examples of past collaborations. Highlight how you’ve effectively communicated technical concepts to non-technical stakeholders, as this will demonstrate your ability to bridge gaps between teams.
✨Understand Data Governance
Brush up on data governance policies and best practices. Be prepared to discuss how you ensure data quality, integrity, and security in your previous roles. This shows that you take data compliance seriously, which is crucial for the company.
✨Prepare for Scenario Questions
Expect scenario-based questions where you might need to outline how you would approach a data engineering challenge. Think about potential threats to project delivery and how you would manage them, as well as how you would optimise data workloads.