Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team to solve complex data challenges and work with cutting-edge technologies.
- Company: Redslim, a dynamic tech company focused on innovative data solutions.
- Benefits: Flexible hybrid work model, competitive salary, and comprehensive training.
- Why this job: Make an impact by working with global clients and the latest data tools.
- Qualifications: 2 years of experience in data engineering, proficient in Python and SQL.
- Other info: Collaborative culture with opportunities for growth and learning.
The predicted salary is between 28800 - 48000 £ per year.
We are seeking a Data Engineer to join our solution engineering team. Practising a hybrid model, the role will combine opportunities for both remote and on-site work. The role will expose you to working with global clients and cutting-edge data technologies. If you're passionate about data, thrive in solving complex challenges, and have experience managing workloads, we want to hear from you!
About the Role
We are looking for a Data Engineer, who is curious about technology and suited to using a variety of tools and frameworks to solve data related problems. The ideal candidate would have 2 years of experience in a similar role. The person should have a problem-solving mindset with a strong hands-on attitude who is looking to execute day to day tasks to support the different clients and project. The candidate would like to work in a creative and varied environment, focusing on performance, using the latest technologies.
Key Responsibilities
- Configure and customise Redslim tools to meet specific client requirements, developing reusable components and ensuring seamless integration with existing systems.
- Design, implement, and maintain data integration code based on Python and PySpark, actively engaging in feedback loop with core product team and contributing to maintenance and evolution of Redslim tools.
- Develop and implement automated workflows using Artificial Intelligence and conventional software logic.
- Optimise and manage job tasks, Unity Catalog tables and other Databricks services.
- Develop and execute unit and integration tests to ensure data quality and pipeline reliability.
- Research, suggest, and implement best practices and usage of any relevant technology/tool in line with modern industry standards.
- Oversee data governance and security, including implementing data access controls, ensuring data privacy, and adhering to company policies.
What We’re Looking For:
Technical Skills:
- Proficient in Python and PySpark with at least 2 years of experience developing and optimizing data pipelines. Demonstrated ability to write clean, efficient, and well-documented code with experience in library-oriented development, creating reusable functions and modules.
- Strong SQL skills for data querying and transformation.
- Experience with Azure cloud services.
- Experience with Databricks, including Delta Lake, Spark SQL, and Unity Catalog. Ability to optimize Spark jobs for performance and scalability.
- Experience with Azure DevOps for CI/CD.
- Knowledge of data modeling and data warehousing principles.
- Experience with other data processing technologies (e.g., Snowflake, DuckDB).
Desired:
- Experience developing and implementing tools using AI (e.g. with Microsoft’s Agent Framework).
- Familiarity with data visualization tools (e.g., Power BI, Tableau).
Mindset:
- Passion for continuous learning and adopting new technologies.
- Exceptional communication skills and ability to collaborate across teams.
- Thrives in a fast-paced, flexible environment.
- Ready to occasionally travel for client and team meetings.
- English is our working language. Spanish and or French would be an advantage.
Why Join Us?
- Fresh, Agile, Entrepreneur environment with direct and full exposure to corporate initiatives.
- Full on-boarding training and on-boarding plan.
- Flexible work environment within a cohesive and collaborative team.
- Competitive package commensurate with experience.
- Exposure to global clients and cross-functional teams.
About Redslim
We started in 2013, when our customers’ data journeys were at a turning point. Redslim came to life to help CPG organizations maximizing the usage of the full scope of their data assets with customized analytical tools. Offering a replicable yet flexible approach to data synchronization, our founding partners created a new space in the world of market intelligence. We’re a virtual company to offer a lean experience around remodelling data assets. Ours is a people-first culture that encourages everyone to drive change on the customer’s behalf. Not being a typical corporation, we can challenge our status quo. We succeed every day with a collaborative attitude, a quality driven approach, and transparent relationships with our partners.
If you're ready to take the next step in your data engineering career, apply today and join our team of experts!
Locations
Data Engineer in Hampshire, Portsmouth employer: Redslim
Contact Detail:
Redslim Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Hampshire, Portsmouth
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 data projects, especially those using Python and PySpark. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving problems, as this will highlight your problem-solving mindset.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Redslim.
We think you need these skills to ace Data Engineer in Hampshire, Portsmouth
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data shine through! Share specific examples of how you've tackled complex data challenges in the past. We love seeing candidates who are genuinely excited about the field.
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with Python, PySpark, and any relevant tools mentioned in the job description. We want to see how your skills align with what we're looking for!
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications. Remember, clarity is key when showcasing your skills and experiences!
Apply Through Our Website: We encourage you to submit your application directly through our website. This way, we can ensure your application gets the attention it deserves. Plus, it’s super easy and quick!
How to prepare for a job interview at Redslim
✨Know Your Tech Inside Out
Make sure you brush up on your Python and PySpark skills before the interview. Be ready to discuss specific projects where you've developed and optimised data pipelines, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving mindset. Think of situations where you had to troubleshoot issues or implement innovative solutions using data technologies. This will demonstrate your hands-on attitude and ability to tackle complex challenges.
✨Familiarise Yourself with Redslim Tools
Since the role involves configuring and customising Redslim tools, do a bit of research on these tools and their functionalities. Being able to discuss how you would approach integrating these tools with existing systems will show your proactive nature.
✨Communicate Effectively
As communication is key in this role, practice articulating your thoughts clearly. Be prepared to explain technical concepts in a way that non-technical team members can understand. This will showcase your exceptional communication skills and collaborative spirit.