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For Companies At a Glance
- Tasks: Design and develop innovative data solutions using AWS services and support data migration.
- Company: Join a forward-thinking company focused on cutting-edge data technology.
- Benefits: Competitive salary, generous bonuses, flexible leave, and 24/7 online GP access.
- Other info: Great opportunities for career growth and mentoring junior engineers.
- Why this job: Make an impact in the data world while working with the latest technologies.
- Qualifications: Experience with AWS, Python, SQL, and data warehousing concepts required.
The predicted salary is between 55000 - 80000 £ per year.
This Senior Data Engineer will play a key role in the evolution of our data platform, driving innovation and delivering high-quality data solutions. This role will focus on both migration from our current Data Warehouse to an AWS ecosystem, and developing cutting edge real-time data solutions including automation, business intelligence, and enabling analytics.
Job Duties
- Design, develop, and maintain data pipelines and ETL processes using AWS services such as AWS Glue, AWS Lambda and AWS S3.
- Support the migration of the existing Data Warehouse from SQL Server to AWS through S3 and Redshift.
- Develop and implement data quality checks and validation procedures.
- Design and implement best practice data lakehouse architectures and data warehousing solutions.
- Collaborate with data scientists and analysts to support the deployment of machine learning and advanced analytical solutions.
- Develop and maintain data documentation and operational procedures.
- Investigate and resolve data quality issues and performance bottlenecks.
- Stay abreast of the latest data technologies and industry best practices.
- Mentor junior data engineers and provide technical guidance to other team members where applicable.
- Contribute to the development and improvement of data platform best practices.
Knowledge, Skills and Experience
- Good understanding of AWS services such as AWS Glue, AWS Lambda, AWS S3, AWS Redshift, and Amazon EMR.
- Proficiency in Python, SQL, Pipeline Orchestration, and data warehousing concepts.
- Ability to diagnose and resolve complex data issues.
- Ability to effectively communicate with both technical and non-technical stakeholders.
- Experience with data lakehouse architectures and data warehousing solutions.
- Experience in migrating data from on-premises systems to cloud environments would be desirable.
- Experience with Agile development methodologies.
- Experience with data security and privacy best practices.
What is in it for me?
- A competitive rate of pay and pension contribution (£55,000 - £80,000).
- Generous discretionary bonus schemes, incentives and competitions.
- An annual leave entitlement that increases with length of service.
- Access to an online GP 24/7, 365 days a year for you and your immediate family.
- Employee wellbeing support through our Employee Assistance Programme.
- Enhanced Maternity & Paternity Pay.
- Long Service Recognition.
- Access to a pay day savings scheme, financial coach and up to 40% of your earned wage ahead of payday, through Wagestream.
Senior Data Engineer in Manchester employer: South 11
Contact Detail:
South 11 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Manchester
✨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 projects, especially those involving AWS services and data pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you've tackled challenges, especially around data migration and quality checks.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a chance to showcase your enthusiasm for our data platform evolution.
We think you need these skills to ace Senior Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with AWS services and data migration, as these are key for us. Use specific examples that showcase your skills in Python, SQL, and data warehousing.
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 contribute to our data platform evolution. Mention any relevant projects or achievements that align with our job description.
Showcase Your Technical Skills: Don’t shy away from listing your technical skills! We want to see your proficiency in AWS Glue, Lambda, and S3. If you've worked on real-time data solutions or automated processes, make sure to include those experiences.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at South 11
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS services like Glue, Lambda, S3, and Redshift. Be ready to discuss how you've used these tools in past projects, especially in relation to data migration and real-time solutions.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex data issues you've diagnosed and resolved. This role requires a knack for troubleshooting, so be ready to explain your thought process and the steps you took to overcome challenges.
✨Communicate Like a Pro
Since you'll be working with both technical and non-technical folks, practice explaining your past projects in simple terms. Highlight your ability to bridge the gap between data engineering and business needs.
✨Stay Current with Data Trends
Familiarise yourself with the latest data technologies and industry best practices. Being able to discuss recent advancements or trends in data engineering will show your passion and commitment to the field.