Data Engineer

Data Engineer

Full-Time 45000 - 60000 £ / year (est.) No home office possible
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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 28 days holiday, healthcare packages, and career development opportunities.
  • Other info: Great workplace culture with a focus on diversity and inclusion.
  • Why this job: Make an impact in data engineering while working with cutting-edge technology and a supportive team.
  • Qualifications: Experience in ETL/ELT processes and Azure Data Services is essential.

The predicted salary is between 45000 - 60000 £ 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, YTL Developments, YTL Construction UK, and YTL Arena. 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 employer: YTL UK Group

YTL UK is an exceptional employer that offers a dynamic work environment for Data Engineers, with a strong focus on professional development and career progression. Employees enjoy a comprehensive benefits package, including generous holiday allowances, a robust pension scheme, and access to health and wellbeing resources, all while contributing to innovative projects within a diverse and inclusive company culture. Located in the vibrant South West of England, YTL UK provides a unique opportunity to be part of a forward-thinking organisation that values its people and their contributions.
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Contact Detail:

YTL UK Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨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, making you stand out 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

Data Pipeline Design
ETL/ELT Processes
Azure Data Services
PySpark
Spark SQL
Python
Data Lake Concepts
SQL Server
T-SQL
Data Security and Compliance
Collaboration Skills
Business Requirements Translation
Testing Techniques
Power BI Integration
Kusto Query Language (KQL)

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!

Show Off Your Technical Skills: Don’t hold back on showcasing your knowledge of PySpark, SQL, and data modelling techniques. We love seeing candidates who can translate complex technical concepts into practical solutions, so let us know what you’ve done!

Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences stand out without unnecessary fluff.

Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way to ensure it gets to the right people and helps us get to know you better!

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, as this will show your practical experience and understanding of the role.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've designed and optimised data pipelines or ETL processes. Highlight any challenges you faced and how you overcame them, especially in terms of performance optimisation and compliance with data governance standards.

✨Understand the Business Context

Be prepared to explain how your technical skills translate into business solutions. Think about how your work impacts stakeholders and contributes to overall business goals, as this will demonstrate your ability to align technical tasks with business needs.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's data initiatives, team structure, and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.

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