Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Senior Data Engineer, tackling complex data challenges daily.
- Company: Be part of a growing tech company near Manchester, innovating in data solutions.
- Benefits: Enjoy flexible working options and a vibrant team culture with great perks.
- Why this job: Work with cutting-edge technologies like Apache Spark and AWS in a fun environment.
- Qualifications: Bring your problem-solving skills and knowledge of cloud technologies to the table.
- Other info: Ideal for those eager to learn and grow in a collaborative setting.
The predicted salary is between 48000 - 72000 £ per year.
We are looking for a Senior Data/DevOps Engineer for a growing client near Manchester. Your role will primarily be to perform DevOps backend and cloud development on the data infrastructure to develop innovative solutions to effectively scale and maintain the data platform. You will be working on complex data problems in a challenging and fun environment using some of the latest Big Data open-source technologies like Apache Spark as well as Amazon Web Service technologies including Elastic MapReduce, Athena, and Lambda to develop scalable data solutions.
- Adhering to Company Policies and Procedures with respect to Security, Quality, and Health & Safety.
- Writing application code and tests that conform to standards.
- Developing infrastructure automation and scheduling scripts for reliable data processing.
- Continually evaluating and contributing towards using cutting-edge tools and technologies to improve the design, architecture, and performance of the data platform.
- Supporting the production systems running the deployed data software.
- Regularly reviewing colleagues' work and providing helpful feedback.
- Working with stakeholders to fully understand requirements.
- Be the subject matter expert for the data platform and supporting processes and be able to present to others to knowledge share.
Here's what we're looking for:
- The ability to problem-solve.
- Knowledge of AWS or equivalent cloud technologies.
- Knowledge of Serverless technologies, frameworks, and best practices.
- Apache Spark (Scala or Pyspark).
- Experience using AWS CloudFormation or Terraform for infrastructure automation.
- Knowledge of Scala or another language such as Java or C#.
- SQL or Python development experience.
- High-quality coding and testing practices.
- Willingness to learn new technologies and methodologies.
- Knowledge of agile software development practices including continuous integration, automated testing, and working with software engineering requirements and specifications.
- Good interpersonal skills, positive attitude, willing to help other members of the team.
- Experience debugging and dealing with failures on business-critical systems.
Preferred:
- Exposure to Apache Spark, Apache Trino, or another big data processing system.
- Knowledge of streaming data principles and best practices.
- Understanding of database technologies and standards.
- Experience working on large and complex datasets.
- Exposure to Data Engineering practices used in Machine Learning training and inference.
- Experience using Git, Jenkins, and other CI/CD tools.
Senior Data Engineer - Apache / Spark / AWS - Manchester employer: Mayflower Recruitment Ltd
Contact Detail:
Mayflower Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Apache / Spark / AWS - Manchester
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Apache Spark and AWS services. Consider building a small project or contributing to open-source projects that utilise these tools to demonstrate your hands-on experience.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with AWS and Apache Spark. Attend meetups or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights into the role.
✨Tip Number 3
Prepare to discuss your problem-solving skills during the interview. Think of specific examples where you've tackled complex data issues or improved data infrastructure, as this will showcase your ability to handle the challenges outlined in the job description.
✨Tip Number 4
Stay updated on the latest trends and best practices in data engineering and cloud technologies. Being knowledgeable about current advancements will not only help you in interviews but also show your commitment to continuous learning, which is highly valued in this role.
We think you need these skills to ace Senior Data Engineer - Apache / Spark / AWS - Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with Apache Spark, AWS, and any other technologies mentioned in the job description. Use specific examples to demonstrate your problem-solving skills and familiarity with cloud technologies.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, particularly your experience with infrastructure automation and data processing. Be sure to convey your willingness to learn new technologies.
Showcase Your Projects: If you have worked on projects involving big data technologies or cloud solutions, include them in your application. Describe your role, the challenges faced, and the outcomes achieved. This will help demonstrate your hands-on experience.
Highlight Team Collaboration: Since the role involves working with stakeholders and providing feedback to colleagues, emphasise your interpersonal skills and experiences where you successfully collaborated with others. This can set you apart as a team player.
How to prepare for a job interview at Mayflower Recruitment Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Apache Spark, AWS, and any relevant programming languages like Scala or Python. Bring examples of past projects where you successfully implemented these technologies.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Practice articulating your thought process when solving complex data problems, as this will highlight your analytical skills and ability to think on your feet.
✨Emphasise Team Collaboration
Since the role involves working closely with colleagues and stakeholders, be ready to share examples of how you've effectively collaborated in previous roles. Highlight your interpersonal skills and willingness to support team members.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest trends in data engineering and cloud technologies. Being able to discuss cutting-edge tools and methodologies will show your commitment to continuous learning and improvement.
