At a Glance
- Tasks: Design and optimise data pipelines, lakes, and databases using Microsoft technologies.
- Company: Join YTL UK, a diverse and innovative part of the international YTL Group.
- Benefits: Enjoy up to 20% pension contribution, 25-28 days holiday, and healthcare package.
- Other info: Opportunities for career progression and a vibrant workplace culture await you.
- Why this job: Make an impact in data engineering while developing your skills in a supportive environment.
- Qualifications: Experience with ETL/ELT processes, Azure Data Services, and teamwork skills required.
The predicted salary is between 50000 - 65000 € per year.
We are looking for a Microsoft Data Engineer to design, implement and optimise data pipelines, data lakes, lakehouses and databases. You will be involved in designing and implementing data flows, building efficient data models, integrating multiple data sources, and optimising performance and cost while aligning with enterprise data governance, security and compliance.
What you’ll do
- Design, develop and maintain data pipelines and ETL/ELT processes.
- Implement Lakehouse and Warehouse structures.
- Develop PySpark notebooks for data transformation and enrichment.
- Design and implement data models optimised for downstream analytics (e.g. star/snowflake schemas).
- Optimise Lakehouse performance with partitioning, indexing and caching strategies.
- Ensure integration solutions comply with relevant standards and regulations, including information security best practices.
- Maintain a good understanding of the technologies that are relevant to YTL UK data and analytics initiatives.
- Support key stakeholders and users.
- Contribute to CI/CD automation pipelines using Azure DevOps or GitHub actions.
- Contribute to the establishment and maintenance of agreed standards, patterns and designs applicable to the work undertaken and to ensure that they are adhered to.
- Contribute to data quality, lineage and cataloguing initiatives to ensure enterprise-wide trusted datasets.
- Occasional support of legacy data integrations e.g. SSIS.
What you’ll need
- ETL/ELT design with a focus on incremental and streaming data pipelines.
- Azure Data Services (Data Factory, Synapse Analytics, Event Hubs, and Logic Apps).
- PySpark, Spark SQL, and Python for data processing and transformations.
- Knowledge of Data Lake, Delta Lake, Parquet and OneLake storage concepts.
- SQL Server and T-SQL experience with data security, encryption and compliance standards.
- Excellent teamwork skills for collaboration with highly technical colleagues.
- The ability to translate business requirements into technical data solutions.
- Familiarity with testing techniques used to plan and execute software tests of all application components (functional and non-functional) to verify that the software satisfies specified requirements and to detect errors.
- Familiarity with machine learning integration and predictive analytics pipelines.
- Power BI integration, including semantic models and DirectLake.
- KQL (Kusto Query Language) for Eventstream and real-time analytics.
What you’ll receive
- A combined pension contribution of up to 20%.
- Career progression and professional development opportunities.
- 25 days' holiday rising to 28 with length of service.
- The opportunity to sell up to five days of holiday every year.
- The opportunity to buy up to ten days of holiday each year (subject to conditions).
- A healthcare package that allows you to claim back healthcare costs.
- Life assurance of up to eight times your salary.
- The opportunity to lease a new electric car through salary sacrifice (subject to conditions).
- Cashback and discounts from more than 3,000 retailers.
- One paid volunteering day each year.
- Enhanced family leave and pay arrangements.
- Access to an interactive health and wellbeing platform.
- Support from trained mental health first aiders.
- A £1,000 referral fee if you recommend someone who is successfully recruited by us.
Who we are
YTL UK is part of the international YTL Group based in Kuala Lumpur. The UK companies include:
- Wessex Water – one of the top-performing water and sewerage companies in England and Wales, serving 2.9 million people across the South West.
- YTL Developments – a major UK developer currently redeveloping a 350-acre former airfield into an award-winning, exciting mix of houses, apartments, schools, commercial space, restaurants and hotels, to make a truly sustainable new community.
- YTL Construction UK – a top 20 UK contractor providing fully integrated services to infrastructure, residential, commercial, industry, energy and environmental sectors.
- YTL Arena – the development and operation of an entertainment complex that includes a 20,000 capacity arena, conferencing and exhibition space.
Our people tell us that YTL UK is a great place to work, which is why so many of them stay with us! You will have a unique opportunity to develop and progress your career within such a diverse group. We are passionate about diversity and inclusion – with that in mind, all applicants are welcome. We are delighted to have signed the Armed Forces Covenant and are a Disability Confident Employer. If you require reasonable adjustments to be made during the recruitment process, please inform a member of our Recruitment team.
Data Engineer in Bath employer: YTL UK Group
YTL UK is an exceptional employer that offers a dynamic work environment for Data Engineers, with a strong focus on career progression and professional development. Employees enjoy generous benefits such as a combined pension contribution of up to 20%, extensive holiday options, and a supportive culture that prioritises mental health and wellbeing. With a commitment to diversity and inclusion, YTL UK provides a unique opportunity to grow within a diverse group while contributing to meaningful projects across various sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Bath
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, ETL processes, and any projects you've worked on. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss how you've tackled challenges in past projects.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer in Bath
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data pipelines, ETL/ELT processes, and Azure Data Services. We want to see how your skills align with what we’re looking for!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical prowess! Mention your experience with PySpark, SQL Server, and any relevant tools like Azure DevOps or GitHub actions. We love seeing candidates who can hit the ground running.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills. We appreciate a well-structured application!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at YTL UK Group
✨Know Your Data Tools
Familiarise yourself with the specific tools mentioned in the job description, like Azure Data Services and PySpark. Be ready to discuss how you've used these technologies in past projects, especially in designing data pipelines and optimising performance.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data engineering, such as integrating multiple data sources or ensuring compliance with security standards. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Understand the Business Context
Be prepared to explain how your technical skills translate into business value. Think about how your work on data models and ETL processes can support key stakeholders and enhance decision-making within the company.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data initiatives and team dynamics. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.