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 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
✨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 hunt for a new role. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving cloud-based environments and AI/ML. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with data pipelines, Python, SQL, and any relevant cloud platforms. Practising common interview questions can also help you feel more confident.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Remote Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data pipelines, cloud environments, and any AI/ML projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Don’t forget to mention your mentoring experience if you have any—it's a big plus for us!
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's automating data pipelines or using Python and SQL for analysis, we love seeing real examples of your work and how you tackle challenges.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Adria Solutions
✨Know Your Data Tools
Make sure you brush up on your knowledge of data tools like Python, SQL, and cloud platforms such as AWS, GCP, or Azure. Be ready to discuss specific projects where you've used these technologies, as it shows you can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in data engineering before. Think of examples where you automated processes or improved data quality. This will demonstrate your ability to think critically and innovate.
✨Emphasise Mentorship Experience
Since mentoring junior engineers is part of the role, be ready to share your experiences in guiding others. Discuss how you've helped team members grow and what strategies you used to support their development.
✨Stay Updated on AI/ML Trends
Familiarise yourself with the latest trends in AI and ML, especially how they apply to data engineering. Mention any relevant courses or projects you've undertaken, as this shows your commitment to continuous learning and staying ahead in the field.
