At a Glance
- Tasks: Design and maintain scalable data pipelines using Databricks and Azure technologies.
- Company: Growing organisation investing in data and cloud capabilities.
- Benefits: Up to £60,000 salary, hybrid working, ongoing training, and clear career progression.
- Other info: Dynamic environment with strong focus on professional development.
- Why this job: Join a collaborative team and work with cutting-edge data technologies.
- Qualifications: Experience with Databricks, SQL, and cloud-based data pipelines.
The predicted salary is between 63000 - 77000 £ per year.
We are partnering with a growing organisation that is investing significantly in its data and cloud capabilities as part of a wider digital transformation programme. As part of this growth, the business is looking to appoint a Data Engineer to join its expanding Data team. This is an excellent opportunity for a Data Engineer with experience in modern cloud data platforms to play a key role in developing and enhancing a scalable, data-driven environment built around Databricks and Azure technologies.
Working closely with stakeholders across technology and the wider business, you will be responsible for designing, developing and maintaining data pipelines, transforming and integrating data from multiple sources and supporting the delivery of high-quality datasets for reporting and analytics. You will have the opportunity to work with cutting-edge technologies within a collaborative team environment while continuing to develop your technical expertise. This role would suit a Data Engineer who enjoys building robust data solutions, working with large datasets and contributing to the ongoing evolution of a modern cloud data platform.
Key Responsibilities
- Design, build and maintain scalable data pipelines using Databricks and Azure technologies
- Develop and optimise ETL processes to support reporting, analytics and business intelligence requirements
- Work with structured and unstructured data from a variety of internal and external sources
- Support the development and maintenance of data models and data warehouse solutions
- Collaborate with analysts, engineers and business stakeholders to deliver data-driven solutions
- Monitor, troubleshoot and improve data pipeline performance and reliability
- Produce and maintain technical documentation and adhere to engineering best practices
Skills & Experience
- Commercial experience working with Databricks in a data engineering capacity
- Strong SQL development and data manipulation skills
- Experience building and supporting cloud-based data pipelines within Azure environments
- Knowledge of Azure Data Factory, Azure Data Lake or related Azure data services
- Experience developing ETL processes and data integration solutions
- Understanding of data warehousing principles and modern data architectures
- Experience with Python, PySpark or Spark is highly desirable
- Strong problem-solving skills and ability to work collaboratively within a team environment
What's on Offer
- Salary of up to £60,000
- Hybrid working model with offices in Cardiff
- Opportunity to work with modern data technologies including Databricks and Azure
- Ongoing training and professional development opportunities
- Collaborative and supportive team culture
- Clear career progression within a growing data function
Data Engineer in Cardiff employer: Tenth Revolution Group
Join a leading AI Analytics team in London, where innovation meets opportunity. As a Remote Senior Data Engineer, you'll thrive in a dynamic work culture that prioritises collaboration and growth, backed by a multinational equity firm poised for year-on-year expansion. Enjoy access to cutting-edge technology, professional development opportunities, and the chance to make a significant impact in the rapidly evolving AI landscape.
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We think this is how you could land Data Engineer in Cardiff
✨Get Involved in Data Science Meetups
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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 Tenth Revolution Group.
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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 Tenth Revolution Group.
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We think you need these skills to ace Data Engineer in Cardiff
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 Tenth Revolution Group, 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 Tenth Revolution Group. 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 Tenth Revolution Group
✨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 Tenth Revolution Group!
✨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.
