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.
- Other info: Collaborative culture with opportunities for growth and learning.
- 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.
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
At Redslim, we pride ourselves on being an excellent employer that fosters a fresh and agile work environment, perfect for Data Engineers eager to tackle complex challenges with cutting-edge technologies. Our people-first culture promotes continuous learning and collaboration, offering flexible work arrangements and exposure to global clients, ensuring that every team member has the opportunity to grow and thrive in their career. Join us to be part of a dynamic team where your contributions are valued and innovation is encouraged.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Hampshire, Portsmouth
✨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 Redslim!
✨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 Data Engineer at Redslim.
✨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 Redslim.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Redslim, 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 Data Engineer in Hampshire, Portsmouth
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 Redslim, 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 Redslim. 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 Redslim
✨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 Redslim!
✨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.
