At a Glance
- Tasks: Design and develop scalable data pipelines using Python and SQL for a cloud-based platform.
- Company: Join a leading organisation transforming data management in Southampton.
- Benefits: Competitive salary, excellent benefits, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Be at the forefront of data technology and make a real impact on business decisions.
- Qualifications: Experience in Data Engineering with strong Python and SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
Data Engineer – Python / SQL / Azure / Databricks
If the following job requirements and experience match your skills, please ensure you apply promptly.
Job Type: Permanent, Full-Time
The Opportunity
An exciting opportunity has arisen for a talented Data Engineer to join a leading organisation.
You will play a key role in developing and enhancing a modern, cloud-based data platform, helping to transform how data is collected, managed and utilised across the business.
Working within a high-performance environment, you will help deliver innovative data solutions that support performance analytics, operational efficiency and strategic decision-making.
This is a fantastic opportunity for a hands-on Data Engineer who enjoys taking ownership of technical solutions and wants to work with cutting-edge data technologies.
Key Responsibilities
- Design, develop and maintain scalable data pipelines using Python and SQL.
- Build and enhance a cloud-based enterprise data platform using Azure and Databricks.
- Develop robust data integration processes to support analytics, reporting and business intelligence.
- Ensure data quality, governance, security and compliance with relevant regulations.
- Undertake database administration activities, including performance optimisation, indexing and access management.
- Explore and develop AI-driven automation to monitor data pipelines and improve operational efficiency.
- Utilise Azure Dev Ops for version control, development workflows and collaboration.
- Work closely with Data Scientists, analysts and other stakeholders to deliver effective data solutions.
- Troubleshoot technical issues and continuously improve platform performance and reliability.
Essential Skills & Experience
- Strong commercial experience in Data Engineering, particularly developing data pipelines using Python.
- Excellent SQL skills and a solid understanding of database design and data modelling.
- Experience working with cloud-based data platforms, ideally Microsoft Azure and/or Databricks.
- Knowledge of ETL/ELT processes and data integration techniques.
- Understanding of data governance, security and quality standards.
- Experience with version control and CI/CD practices.
- Strong analytical, problem-solving and communication skills.
Desirable Skills
- Experience with Azure Dev Ops.
- Knowledge of AI-driven automation and data pipeline monitoring.
- Experience working with large, complex datasets.
- Exposure to sports analytics, performance data, GPS tracking or similar datasets.
- Experience collaborating with Data Scientists and analytics teams. xsabvtc
What's on Offer?
Competitive salary and comprehensive benefits pa...
Data Engineer – Python / SQL / Azure / Databricks in Newtown employer: Adria Solutions Careers
As an Application Support Engineer at our company, you will thrive in a dynamic and supportive work environment that prioritises employee growth and development. We offer comprehensive training programmes, a collaborative culture that encourages innovation, and the opportunity to work with cutting-edge Microsoft 365 technologies in a vibrant location. Join us to make a meaningful impact while enjoying a healthy work-life balance and competitive benefits.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer – Python / SQL / Azure / Databricks in Newtown
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Engineer – Python / SQL / Azure / Databricks in Newtown
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 Careers, 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 Careers. 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 Careers
✨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!
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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 Careers!
✨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.
