At a Glance
- 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.
- Other info: Opportunity for leadership roles and collaboration with diverse teams.
- 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.
The predicted salary is between 44000 - 48000 £ 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 — 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 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 will also get the opportunity to progress into a leadership role if this suited the individuals’ desires and capabilities. You’ll be exposed to a wide range of projects that include internal and external suppliers, with annual budgets spreading from £1M- £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 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.
What you’ll get in return (at a glance)
- A salary of circa £52,000 - £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 – 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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Caerphilly, Wales, United Kingdom 1 month ago
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Data Engineer in Pontypridd employer: IntaPeople: STEM Recruitment
IntaPeople is an exceptional employer that prioritises a nurturing work culture and offers ample opportunities for internal progression, making it a perfect fit for experienced developers. Located in Cardiff, the company provides flexibility for office visits, ensuring a balanced work-life dynamic while allowing you to engage directly with clients and lead impactful Umbraco projects.
Contact Details:
IntaPeople: STEM Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Pontypridd
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We think you need these skills to ace Data Engineer in Pontypridd
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✨Brush Up on Your Statistics
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