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- Tasks: Design and build scalable data pipelines to drive data-driven decisions.
- Company: Join a fast-growing not-for-profit sector client in Wales.
- Benefits: Competitive salary, flexible working, 28 days leave, and free rail travel.
- Why this job: Be part of transformative digitalisation projects and grow your career in data engineering.
- Qualifications: Experience with Azure Data Factory, Python, SQL, and data modelling.
- Other info: Opportunity for leadership roles and collaboration with diverse teams.
The predicted salary is between 44000 - 48000 Ā£ per year.
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IntaPeople: STEM Recruitment provided pay range
This range is provided by IntaPeople: STEM Recruitment . Your actual pay will be based on your skills and experience ā talk with your recruiter to learn more.
Base pay range
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Director at IntaPeople | Technology, Data & Software Recruitment #STEM #DATA #TECH
IntaPeople are proud and excited to be appointed to recruit an experienced Data Engineer for a Welsh-based not-for-profit sector client on an exclusive growth project.
This is a very exciting opportunity to join their fast-growing Data/IT function in this newly created position. You will be joining the data team as one of the first employees 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.
In this newly created role youāll work closely with the āHead of Data Engineeringā to grow out this data function with the recruitment of further data engineering colleagues. You will also get the opportunity to progress into a leadership role if this suited the individualsā desires and capabilities. Youāll be exposed to a wide range of projects that include internal and external suppliers, with annual budgets spreading from Ā£1M- Ā£2M+.
- Proven experience as a Data Engineer (or similar/related role)
- 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.
Key Responsibilities (at a glance):
- 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 organisationās 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.
What youāll get in return (at a glance)
- A salary of circa Ā£52,000 ā Ā£56,000 (depending on experience)
- 28 days annual leave + public bank holidays
- A flexible working environment
- Competitive Legal and General pension Scheme (8% contribution)
- 4 x Death in service
- Free Rail travel
- The opportunity to work on modern and industry changing projects
- Progression and development opportunities
- Salary sacrifice scheme such as ā cycle to work, electric vehicle
- To be based in their brand new, modern offices 1-3 days per week with the wider team in Pontypridd
- A chance to truly contribute to large scale digitalisation projects within Wales
For more information click APPLY now or for a confidential chat call Nathan Handley on 02920 252 500.
This role is commutable from Swansea, Bridgend, Cardiff and Newport.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Information Services and Data Infrastructure and Analytics
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Data Engineer employer: IntaPeople: STEM Recruitment
Contact Detail:
IntaPeople: STEM Recruitment Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Data Engineer
āØNetwork 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 landing that Data Engineer role.
āØShow Off Your Skills
Donāt just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Azure Data Factory or Databricks. This will give potential employers a clear view of what you can bring to the table.
āØAce the Interview
Prepare for technical interviews by brushing up on your Python, SQL, and data modelling skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
āØApply Through Our Website
Make sure to apply through our website for the best chance at landing the job. Weāre always looking for talented individuals like you to join our growing team, so donāt miss out!
We think you need these skills to ace Data Engineer
Some tips for your application š«”
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 youāve used. We want to see how your skills match what weāre looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youāre excited about this opportunity and how your background makes you a great fit. Donāt forget to mention your experience with data governance and collaboration with stakeholders.
Showcase Your Projects: If youāve worked on relevant projects, make sure to include them in your application. We love seeing real-world examples of how youāve designed and built data pipelines or transformed raw data into insights. It helps us understand your practical experience!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. Itās super easy, and youāll be able to keep track of your application status. Plus, weāre always here to help if you have any questions!
How to prepare for a job interview at IntaPeople: STEM Recruitment
āØKnow Your Tech Inside Out
Make sure you brush up on your experience with Azure Data Factory, Databricks, and Apache Spark. Be ready to discuss specific projects where you've implemented these technologies, as well as the challenges you faced and how you overcame them.
āØShowcase Your Problem-Solving Skills
Prepare to share examples of how you've transformed raw data into meaningful insights. Highlight your ETL processes and how they empowered stakeholders to make informed decisions. This will demonstrate your ability to deliver high-quality data solutions.
āØCommunicate Like a Pro
Since you'll be working with non-technical audiences, practice explaining complex technical concepts in simple terms. Think of examples where you've successfully communicated data insights to stakeholders and how that impacted decision-making.
āØBe Ready for Collaboration
Expect questions about your experience working with cross-functional teams. Prepare to discuss how you've collaborated with data analysts, architects, and DevOps engineers to align data solutions with business objectives. This shows you're a team player who values collaboration.
