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- Tasks: Build and optimise data pipelines for diverse client data sources in a greenfield environment.
- Company: Join a leading supply chain management consultancy focused on innovative data solutions.
- Benefits: Competitive pay based on skills, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by creating a cutting-edge data platform from scratch.
- Qualifications: Strong experience in data engineering, SQL, and cloud platforms like AWS or Azure.
- Other info: Dynamic role with a focus on quality, performance, and collaboration in a supportive team.
The predicted salary is between 36000 - 60000 £ per year.
This range is provided by SPG Resourcing. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Overview
You will be working with a supply chain management consultancy building a greenfield data platform from the ground up. Data preparation is currently manual and spreadsheet driven, posing clear delivery risks and scalability limitations. The new platform will manage ingestion of customer data, standardisation, and allow for processing and analytics outputs. The organisation is now establishing its target data architecture internally. This Engineer will work alongside the architect to define the core data model and build robust, scalable pipelines and data assets that operationalise that architecture. This is a hands-on Data Engineering role with a strong emphasis on implementation quality, performance, and reliability in a greenfield environment.
Key Responsibilities
- Build and optimise data ingestion pipelines for varied client data sources including APIs, file uploads, batch feeds, streaming, and CDC.
- Implement data models and transformations in line with defined architectural and modelling standards.
- Work closely with architect to translate logical designs into production ready solutions.
- Develop and maintain data quality, validation, and enrichment processes.
- Support AI and ML driven use cases for data identification, categorisation, and enrichment.
- Ensure data pipelines align with GDPR and ISO requirements.
- Contribute to infrastructure as code practices alongside platform and DevOps teams.
- Support downstream analytics and reporting use cases including Power BI.
Required Experience
- Strong Senior Data Engineering experience on modern data platforms.
- Proven delivery on greenfield or early stage data environments.
- Hands-on experience building scalable ingestion and transformation pipelines.
- Strong SQL and data transformation capability.
- Cloud data engineering experience across AWS, Azure, or GCP.
- Familiarity with infrastructure as code, ideally Terraform.
- Comfortable working autonomously while collaborating closely with architecture and product stakeholders.
- Pragmatic, delivery focused mindset with strong attention to data quality and performance.
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Information Technology
Industries: Operations Consulting and Business Consulting and Services
Data Engineer in Manchester employer: SPG Resourcing
Contact Detail:
SPG Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data ingestion pipelines or cloud platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Be ready to discuss how you've tackled challenges in greenfield environments and how you ensure data quality.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data ingestion pipelines, cloud platforms, and any greenfield projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've built scalable data solutions or worked with APIs and batch feeds. This helps us understand your hands-on experience and how you approach problem-solving in a data environment.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication that gets to the heart of your experience.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It streamlines the process for us and ensures your application lands in the right hands. Don’t miss out on this opportunity!
How to prepare for a job interview at SPG Resourcing
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Understand the key concepts of data ingestion, transformation, and storage. Be ready to discuss your experience with building scalable pipelines and how you've tackled challenges in greenfield environments.
✨Showcase Your Technical Skills
Prepare to demonstrate your SQL prowess and any cloud data engineering experience you have, especially with AWS, Azure, or GCP. You might be asked to solve a problem on the spot, so practice coding challenges related to data transformation and pipeline optimisation.
✨Understand the Company’s Needs
Research the consultancy's focus on supply chain management and their current data challenges. Tailor your responses to show how your skills can help them build a robust data platform and improve their data processes. This will show that you're not just technically capable but also aligned with their goals.
✨Prepare Questions for Them
Have a few insightful questions ready about their data architecture and the specific challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it opens up a dialogue that can make you more memorable.
