At a Glance
- Tasks: Automate data pipelines and analyse large datasets in a cloud environment.
- Company: Join a dynamic and growing data team in Greater Manchester.
- Benefits: Remote work, advanced training in AI/ML, and mentorship opportunities.
- Other info: Great opportunity for career growth and mentoring junior engineers.
- Why this job: Make an impact by enhancing cloud capabilities with cutting-edge technology.
- Qualifications: Experience in Python, SQL, and cloud platforms like AWS/GCP/Azure.
The predicted salary is between 60000 - 80000 £ per year.
An exciting opportunity has arisen for a Senior Data Engineer to join my client’s dynamic and growing data team. In this role, you will work across the full data lifecycle—streaming, enrichment, and curation—within a cloud-based environment. You will be responsible for ensuring data quality, integrating key data sets, and supporting the insights and data science teams. As part of this role, you will also develop your expertise in Artificial Intelligence (AI) and Machine Learning (ML), with access to advanced training in ML Ops. Additionally, you will play a key role in mentoring and developing junior data engineers.
Key Responsibilities:
- Automate and maintain data pipelines within a cloud-based environment (AWS/GCP/Azure).
- Source and verify data from multiple sources, ensuring it is ready for ingestion.
- Gain experience in data infrastructure and contribute to the development of new cloud-based methodologies.
- Analyse large datasets using Python and SQL.
- Set up new pipelines for data streaming, enrichment, and curation.
- Manage and maintain source code repositories (GitHub).
- Investigate and apply AI/ML solutions to enhance cloud capabilities.
Remote Senior Data Engineer in Devon employer: Adria Solutions
Join a forward-thinking company that prioritises innovation and employee development, offering a collaborative work culture where your contributions are valued. As a Senior Data Engineer in Greater Manchester, you will benefit from advanced training in AI and ML, alongside opportunities for mentorship and career progression within a dynamic data team. Enjoy the flexibility of remote work while being part of a supportive environment that encourages continuous learning and growth.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Data Engineer in Devon
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines, AI, and ML. 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 your technical skills. Be ready to discuss your experience with cloud platforms like AWS, GCP, or Azure, and how you've tackled challenges in data quality and integration.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic roles waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Remote Senior Data Engineer in Devon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with cloud environments, data pipelines, and any AI/ML projects you've worked on. We want to see how you fit into our dynamic team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your background makes you the perfect fit for this role. Don’t forget to mention your mentoring experience if you have any!
Showcase Your Projects:If you've worked on interesting data projects, make sure to include them in your application. Whether it's automating data pipelines or analysing large datasets, we love to see real-world examples of your work and how you’ve used Python and SQL.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Adria Solutions
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like AWS, GCP, or Azure. Brush up on your Python and SQL skills, as you'll likely be asked to demonstrate your ability to analyse large datasets during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've automated data pipelines or worked with cloud-based environments. Highlight any experience you have with AI and ML, as this will show your potential employer that you're ready to contribute to their data team.
✨Be Ready to Mentor
Since mentoring junior engineers is part of the role, think about your past experiences in guiding others. Be prepared to share examples of how you've helped colleagues grow their skills or overcome challenges in data engineering.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and the technologies they use. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals, especially regarding AI and ML training opportunities.
