At a Glance
- Tasks: Automate data pipelines and analyse large datasets in a cloud environment.
- Company: Join a dynamic and innovative data team in Greater Manchester.
- Benefits: Career growth, professional development, and access to advanced AI/ML training.
- Other info: Collaborative culture with opportunities for innovation and skill enhancement.
- Why this job: Work with cutting-edge tech and mentor junior engineers while making an impact.
- Qualifications: Proficient in SQL, Python, and experienced in cloud solutions and AI/ML.
The predicted salary is between 55000 - 70000 £ 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.
Key Skills & Experience:
- Strong proficiency in SQL and Python.
- Experience in cloud data solutions (AWS, GCP, or Azure).
- Experience in AI/ML.
- Experience with PySpark or equivalent.
- Strong problem-solving and analytical skills.
- Excellent attention to detail.
- Ability to manage stakeholder relationships effectively.
- Strong communication skills and a collaborative approach.
Why Join Us?
- Work with cutting-edge technologies in cloud data engineering and AI/ML.
- Opportunity for career growth and professional development.
- Be part of an innovative and forward-thinking data team.
If you are a motivated Senior Data Engineer with a passion for cloud technologies, AI, and data analytics, we’d love to hear from you.
Interested? Please Click Apply Now!
Remote Senior Data Engineer in Wakefield employer: Adria Solutions
Join a forward-thinking company in Greater Manchester that values innovation and professional growth. As a Senior Data Engineer, you will work with cutting-edge technologies in a collaborative environment, with ample opportunities for career advancement and access to advanced training in AI and ML. The supportive work culture encourages mentorship and development, making it an excellent place for passionate data professionals to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Data Engineer in Wakefield
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Adria Solutions!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Remote Senior Data Engineer at Adria Solutions.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Adria Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Remote Senior Data Engineer at Adria Solutions, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Remote Senior Data Engineer in Wakefield
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Adria Solutions, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Adria Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Adria Solutions
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Adria Solutions!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
