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- Tasks: Transform raw data into insights and build scalable cloud solutions.
- Company: Join a well-established data team with a focus on innovation.
- Benefits: Enjoy a competitive salary, flexible hours, and generous holiday allowance.
- Other info: Remote work with occasional team meetups in Yorkshire and great career growth.
- Why this job: Make a real impact by turning complex data into clarity and insights.
- Qualifications: 3+ years in data engineering, experience with Amazon Redshift and Power BI.
The predicted salary is between 55000 - 60000 £ per year.
Joining a well-established and highly skilled Data team, an experienced Data Engineer is required to help design and develop modern cloud solutions. To hit the ground running in this role, you will have proven experience designing, building and maintaining enterprise-scale Data Lakes and Data Warehouses on Amazon Redshift. As a Data Engineer, you will turn complex data into clarity, build scalable solutions, and help deliver insights that transform how the organisations client’s work. Utilising modern technologies, this role presents an exciting challenge to join a business that promotes a healthy work-life balance and encourages professional development. The role will be primarily remote, with occasional meetups with the team in Yorkshire.
Package:
- Bonus opportunities
- 35-hour work week with flexible working
- 25 days holiday + 5 days buy/sell + bank holidays
- Professional development opportunities
- 5% employer pension, rising with service + many more
Responsibilities:
- Convert raw data into trusted analytical assets and bring insight to life through Power BI.
- Build and maintain the Redshift-based Enterprise Data Warehouse and S3 Data Lake.
- Develop and optimise ELT/ETL pipelines across diverse data sources.
- Develop Power BI datasets, dashboards, and reports.
- Build strong semantic models using DAX and best-practice design.
- Work with stakeholders, analysts, and data scientists to deliver effective solutions.
- Keep abreast of the latest tech and make recommendations that will benefit the department.
Requirements:
- 3+ years’ experience in data engineering and data warehousing.
- Amazon Redshift.
- Data Lake architectures (S3, lakehouse patterns).
- SQL and Power BI development experience.
- DAX / Data Modelling.
- Familiarity with ELT/ETL tools.
- Knowledge of data governance, security, and access control.
- Scripting skills.
- Agile.
Erin Associates welcomes applications from people of all ethnicities, genders, sexual orientations, and disabilities. Please inform us if you require any reasonable adjustments at any stage of the application process.
Location: West Yorkshire, United Kingdom
Employment: Permanent
Salary: £55,000 – £60,000 + bonus and excellent benefits
Data Engineer employer: Erin Associates Ltd.
Contact Detail:
Erin Associates Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Network Like a Pro
Get out there and connect with folks in the data engineering field! Attend meetups, webinars, or even local tech events. You never know who might have a lead on that perfect job or can give you insider tips about the company.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Amazon Redshift and Power BI. Share it on platforms like GitHub or your personal website. This way, potential employers can see your work in action and get a feel for your expertise.
✨Ace the Interview
Prepare for common data engineering interview questions and be ready to discuss your experience with ELT/ETL pipelines and data lakes. Practice explaining complex concepts in simple terms – it shows you can communicate effectively with stakeholders!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Amazon Redshift, Data Lakes, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of your work in data engineering. Whether it's building ELT/ETL pipelines or developing Power BI dashboards, we love to see real-world applications of your skills. This helps us understand how you can contribute to our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how you can help transform insights into action. Keep it concise but engaging – we want to feel your enthusiasm!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Erin Associates Ltd.
✨Know Your Tech Inside Out
Make sure you’re well-versed in Amazon Redshift, Data Lakes, and ELT/ETL processes. Brush up on your SQL and Power BI skills, as these will likely come up during the interview. Being able to discuss your past projects and how you’ve used these technologies will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Use examples that highlight your ability to turn complex data into actionable insights. This will demonstrate your analytical thinking and your capability to deliver effective solutions.
✨Understand the Company Culture
Research the company’s values and work culture, especially their emphasis on work-life balance and professional development. Be ready to explain how you align with these values and how you can contribute to a positive team environment, even in a remote setting.
✨Prepare Questions for Them
Have a few thoughtful questions ready to ask your interviewers. Inquire about their current projects, the tools they use, or how they approach data governance. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.