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- Tasks: Build and maintain data pipelines that drive analytics and machine learning.
- Company: Join a forward-thinking team focused on data-driven solutions.
- Benefits: Flexible working, generous holiday, annual bonuses, and wellness days.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Make a real impact by enabling business value through data engineering.
- Qualifications: Experience with large datasets, Python, SQL, and cloud environments.
The predicted salary is between 50000 - 65000 £ per year.
We are looking for a Data Engineer to join our team and play a key role in building and maintaining the data pipelines that fuel our analytics and machine learning initiatives. This isn't just about processing data; it's about enabling business value.
Responsibilities
- Design, develop & maintain data pipelines, using PySpark and modern tooling to process and transform large volumes of data efficiently.
- Collaborate cross-functionally, working closely with senior engineers and data product teams to translate business requirements into technical specifications.
- Ensure data quality & reliability—you'll write high-quality, well-tested code, troubleshoot issues, and resolve performance bottlenecks.
- Participate in code reviews, provide constructive feedback to peers, and help develop our core data engineering tools.
Qualifications
- Hands‑on data engineering experience with large-scale datasets and solid familiarity with data warehousing concepts.
- Strong programming skills in Python and SQL, and solid experience with PySpark.
- Experience with cloud‑based data environments such as GCP or AWS, and familiarity with tools like BigQuery, Airflow, and messaging queues.
Key Criteria
- A software engineering mindset—understanding core principles, valuing automated testing, and caring about writing maintainable code.
- A collaborative spirit—working well independently but thriving as part of a team, with excellent communication skills and a desire to learn.
Benefits
- Flexible working with a range of options.
- Generous holiday allowance, with the option to buy more.
- Annual bonus opportunity.
- Competitive pension contribution.
- Save as you earn—with an opportunity to buy ITV shares.
- Wellbeing and volunteering days plus a wide range of opportunities to support a balanced and healthy life.
Data Engineer in Manchester employer: ITV Consumer Limited 2024
Contact Detail:
ITV Consumer Limited 2024 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This gives us a tangible way to see what you can do beyond the application.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with PySpark, SQL, and cloud environments like GCP or AWS.
✨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 take that extra step.
We think you need these skills to ace Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, PySpark, and any cloud environments like GCP or AWS. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects where you've designed or maintained data pipelines. This gives us a clear picture of your hands-on experience and how you’ve tackled real-world challenges in data engineering.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're excited about the role and how you can contribute to our team. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at ITV Consumer Limited 2024
✨Know Your Tech Stack
Make sure you brush up on your skills with Python, SQL, and PySpark. Be ready to discuss how you've used these technologies in past projects, especially when it comes to building data pipelines or working with large datasets.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering. Think of examples where you had to troubleshoot issues or optimise performance. This will demonstrate your ability to add business value through your technical expertise.
✨Collaboration is Key
Since the role involves working closely with senior engineers and product teams, be ready to discuss how you've collaborated in the past. Highlight any experiences where you translated business requirements into technical solutions, as this shows your understanding of the bigger picture.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data initiatives and tools they use, like GCP or BigQuery. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals.