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- Tasks: Build and maintain a high-performance data platform using modern tools.
- Company: Join an innovative client focused on large-scale data infrastructure projects.
- Benefits: Enjoy flexible hybrid working, 25 days holiday, and a £100 home office budget.
- Why this job: Be part of an agile team driving impactful data solutions in a fast-paced environment.
- Qualifications: Experience in data pipelines, cloud engineering (AWS), and Spark expertise required.
- Other info: Flexible start date and training budget with 1:1 coaching available.
The predicted salary is between 60000 - 84000 £ per year.
We’re working with an innovative client who is looking to add a Senior Data Engineer to their growing team. This is an exciting opportunity to work on large-scale data infrastructure projects using modern tools like AWS, Apache Spark, and Terraform.
You will be instrumental in building and maintaining a high-performance data platform, owning infrastructure automation, backend development, and cloud engineering. You will work within an agile team to design scalable solutions that power business-critical insights.
Tech Stack Includes:
- Cloud: AWS (EMR, Lambda, Glue, Athena)
- Big Data: Apache Spark (Scala or PySpark), Kafka, Airflow
- Languages: Python, Scala, SQL
- Infrastructure: Terraform, CloudFormation
- DevOps: Git, Jenkins, Docker, CI/CD pipelines
We’re Looking For Someone With:
- Proven experience designing and building data pipelines
- Strong cloud engineering background (preferably AWS)
- Spark expertise (Scala or PySpark)
- Hands-on IaC experience (Terraform or CloudFormation)
- Familiarity with CI/CD and DevOps best practices
- Experience working in agile, collaborative environments
What’s On Offer:
- High-impact data work in a fast-moving environment
- Flexible hybrid working (2–3 days in Manchester office)
- 25 days holiday + option to buy/sell 5
- Annual bonus scheme
- Life assurance & pension contributions
- £100 home office setup budget
- Training budget + 1:1 coaching
- Cycle to work scheme
- Tech of your choice
Location: Manchester (Hybrid – 2–3 days per week in-office)
Salary: £70,000 – £80,000 + Bonus + Benefits
Start: Flexible for the right person
Senior Data Engineer - Hybrid (Manchester) | £70k-£80k + Bonus & Benefits employer: Hire Tech UK
Contact Detail:
Hire Tech UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Hybrid (Manchester) | £70k-£80k + Bonus & Benefits
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as AWS, Apache Spark, and Terraform. Having hands-on experience or projects that showcase your skills with these technologies will make you stand out.
✨Tip Number 2
Network with current employees or professionals in similar roles on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those involving data pipelines and cloud engineering. Be ready to explain your thought process, challenges faced, and how you overcame them.
✨Tip Number 4
Showcase your understanding of agile methodologies and DevOps practices during interviews. Highlight any relevant experiences where you collaborated within an agile team to deliver successful data solutions.
We think you need these skills to ace Senior Data Engineer - Hybrid (Manchester) | £70k-£80k + Bonus & Benefits
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines, cloud engineering, and tools like AWS and Apache Spark. Use specific examples to demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs, particularly in building scalable data solutions and your experience with infrastructure automation.
Showcase Relevant Projects: If you have worked on projects involving Terraform, CI/CD, or agile methodologies, be sure to include these in your application. Highlight your contributions and the impact of your work on those projects.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Senior Data Engineer role.
How to prepare for a job interview at Hire Tech UK
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS, Apache Spark, and Terraform in detail. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Understand the Agile Methodology
Since the role involves working within an agile team, brush up on agile principles and be ready to discuss how you've contributed to agile projects in the past. This shows that you can adapt to their working style.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities, especially related to data pipelines and cloud engineering. Practice explaining your thought process clearly, as this will showcase your analytical skills.
✨Ask Insightful Questions
At the end of the interview, ask questions that reflect your interest in the company and the role. Inquire about their current data projects or challenges they face, which shows your enthusiasm and willingness to contribute.
