At a Glance
- Tasks: Design and build scalable data pipelines to empower 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 temp-to-perm.
- Other info: Collaborate with diverse teams and enhance your career in a supportive environment.
- Why this job: Make a real impact on large-scale digitalisation projects while growing your skills.
- Qualifications: Experience with Azure Data Factory, Python, SQL, and data governance.
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.
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.
Role overview
- 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 employer: IntaPeople
IntaPeople is an excellent employer that fosters a collaborative and innovative work culture, providing Data Engineers with the opportunity to contribute to significant digitalisation projects in South Wales. With a focus on employee growth, you will work closely with experienced professionals and have access to a range of resources that enhance your skills in data management and engineering. The hybrid working model allows for flexibility while being part of a supportive team environment, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer | 6 months
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might know about opportunities at companies you're interested in. A friendly chat can sometimes lead to a referral, which is often the golden ticket to landing an interview.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical folks.
✨Tip Number 3
Don’t just wait for job postings to pop up! Be proactive and reach out to companies directly through our website. Express your interest in their data projects and how you can contribute. Sometimes, they might have openings that aren’t advertised yet.
✨Tip Number 4
Showcase your projects! Whether it's a GitHub repo or a personal blog, having a portfolio of your work can really set you apart. It gives potential employers a taste of your skills and how you approach problem-solving in data engineering.
We think you need these skills to ace Data Engineer | 6 months
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!
Showcase Your Projects:Include specific projects where you've designed and built data pipelines or worked with cloud-based architectures. This gives us a clear picture of your hands-on experience and how you can contribute to our team right away.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for your skills and experiences to make it easy for us to read. We appreciate straightforward communication, especially when it comes to technical details!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at IntaPeople
✨Know Your Tech Stack
Make sure you’re well-versed in the essential tools mentioned in the job description, like Azure Data Factory, Databricks, and Apache Spark. Brush up on your Python, Scala, and SQL skills, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed and built data pipelines. Highlight your experience with data modelling and warehousing, especially within Azure, to demonstrate your hands-on expertise.
✨Communicate Clearly
Since you'll be working with non-technical stakeholders, practice explaining complex data concepts in simple terms. This will show that you can bridge the gap between technical and non-technical teams effectively.
✨Be Ready for Collaboration
Expect questions about teamwork and collaboration, as this role involves working closely with analysts, architects, and business stakeholders. Think of examples where you’ve successfully navigated differing priorities to deliver a project.
