At a Glance
- Tasks: Design and build scalable data pipelines to drive data-driven decisions.
- Company: Join a dynamic team in a modern office environment in South Wales.
- Benefits: Hybrid work model, competitive pay, and potential for extension or permanent role.
- Other info: Collaborate with a small team and grow your career in data engineering.
- Why this job: Make a real impact on large-scale digitalisation projects while developing your skills.
- Qualifications: Experience with Azure Data Factory, Databricks, Python, and SQL required.
The predicted salary is between 40000 - 50000 £ per year.
IntaPeople are excited to be appointed to recruit an experienced Data Engineer for a team that needs additional project resource for an interim period of time. You will be joining a small data team in this area of the business which will work with external partners to build out the organisations data capability offering. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platform that enable them to make data-driven decisions.
You’ll work closely with the ‘Head of Data Engineering’ to grow out this data function with the recruitment of further data engineering colleagues. You’ll be exposed to a wide range of projects that include internal and external suppliers.
Essential Skills- Proven experience as a Data Engineer
- Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles.
- Experience of using programming languages such as Python, Scala and SQL.
- Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure.
- Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud-based architectures.
- Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery.
- Robust understanding of data governance, data quality, and metadata management.
- Experience of communicating technical information and data to a non-technical audience and working collaboratively with analysts, architects, and product owners to deliver data solutions that meet user and organisational needs.
- Lead on the introduction of foundational data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality controls.
- Design, implement, and optimise physical data models that align with pipeline architecture, by using the approach that ensures efficient query performance, scalable storage, and robust integration and delivers adaptable and resource-efficient data processing, meeting the organisation’s evolving analytical and operational demands.
- Work closely with data analysts, architects, devops Engineers, and business stakeholders through regular communication and collaborative planning to ensure data solutions are closely aligned with business objectives and effectively meet user needs.
- Transform raw data into meaningful insights by developing and maintaining tailored ETL (Extract, Transform, Load) processes enabling customised processes, empowering stakeholders to make informed decisions based on high-quality, processed information.
- Managing the aspirations of a variety of stakeholders to enable successful project delivery can be challenging, especially when their priorities may differ or even conflict and require reconciliation to meet business and project needs.
Role overview: Senior Data Engineer
- To come in and hit the ground running and start delivering quickly
- Expected 6-month project (with potential for extension or even temp to perm for the right candidate)
- To be based in their modern offices 2 days per week with the wider team
- A chance to truly contribute to large scale digitalisation projects within Wales.
- Start date asap
- Interviews likely to commence w/c 15th onwards
- IR35 status to be determined
This role is commutable from Swansea, Bridgend, Cardiff, Newport and Bristol.
Data Engineer | 6 months in Cardiff employer: IntaPeople
Join a dynamic and innovative team as a Data Engineer in South Wales, where you'll have the opportunity to work on impactful projects that enhance the organisation's data capabilities. With a strong focus on employee growth, you will collaborate closely with experienced professionals and contribute to large-scale digitalisation efforts, all within a supportive hybrid work environment. Enjoy the benefits of working in modern offices, fostering a culture of collaboration and continuous improvement, while making meaningful contributions to data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer | 6 months in Cardiff
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local tech events. The more you engage with others, the better your chances of hearing about job openings that might not even be advertised.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio showcasing your projects, especially those involving Azure Data Factory or Databricks. This will give potential employers a clear idea of your capabilities and how you can contribute to their team.
✨Ace the Interview
Prepare for your interviews by practising common data engineering questions and scenarios. Be ready to discuss your experience with ETL processes and data modelling. Remember, it’s not just about technical skills; they want to see how you communicate complex ideas to non-technical folks too!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It streamlines the process and ensures your application gets the attention it deserves. Plus, we’re always on the lookout for talented individuals like you to join our growing team.
We think you need these skills to ace Data Engineer | 6 months in Cardiff
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Azure Data Factory, Databricks, and any programming languages like Python or SQL that you’ve used. We want to see how your skills match what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your previous projects align with our needs. Let us know how you can contribute to our team and the exciting projects we have lined up.
Showcase Your Projects:If you’ve worked on relevant projects, don’t hold back! Include links to your GitHub or any other platforms where we can see your work. We love seeing practical examples of your skills in action, especially with data pipelines and ETL processes.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at IntaPeople
✨Know Your Tech Stack
Make sure you brush up on your experience with Azure Data Factory, Databricks, and Apache Spark. Be ready to discuss how you've used these tools in past projects, as well as your understanding of ETL/ELT principles. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data engineering. Whether it's optimising data models or improving data quality, having concrete stories will demonstrate your ability to think critically and deliver results under pressure.
✨Communicate Clearly
Since you'll be working with non-technical stakeholders, practice explaining complex data concepts in simple terms. This will highlight your communication skills and your ability to bridge the gap between technical and non-technical teams, which is crucial for this role.
✨Be Ready for Collaboration
Expect questions about teamwork and collaboration, especially since you'll be working closely with analysts, architects, and devops engineers. Think of examples where you've successfully collaborated on projects, and be prepared to discuss how you handle differing priorities among stakeholders.
