At a Glance
- Tasks: Build robust data pipelines and backend services using Python and SQL.
- Company: Fast-growing tech company focused on innovative data solutions.
- Benefits: Up to £90,000 salary plus benefits, remote work available.
- Other info: Collaborate with diverse teams and contribute to cutting-edge projects.
- Why this job: Join a dynamic team and shape the future of data engineering.
- Qualifications: Strong experience in data engineering, Python, SQL, and AWS required.
The predicted salary is between 63000 - 77000 £ per year.
MCS Group is exclusively partnering with a successful, fast-growing technology company as it expands its Data Engineering team. This is a senior, hands-on role for an experienced engineer who is highly confident working with Python, SQL and AWS. You will help build a modern data platform that transforms large volumes of complex, proprietary data into scalable analytics, AI capabilities and customer-facing product features. This is not a traditional reporting role. You will be building production-grade data services, APIs and pipelines that sit at the heart of the company's technology products.
This is a remote position for candidates based in the UK and sponsorship is unfortunately unavailable.
The Senior Data Engineer will work closely with software engineers, product teams, data specialists and technical leadership to design and deliver reliable, scalable data solutions. Your responsibilities will include:
- Building robust data pipelines and backend data services using Python and SQL
- Designing data APIs, semantic layers and curated datasets
- Developing cloud-native data solutions within AWS
- Structuring and modelling complex engineering and simulation data
- Supporting analytics, machine learning and AI-driven product capabilities
- Working with Product Managers to translate requirements into scalable technical solutions
- Collaborating with Data, AI, BI, QA and Software Engineering teams
- Contributing to CI/CD, infrastructure-as-code and DevOps practices
- Maintaining high standards across data quality, testing, monitoring and performance
- Evaluating new tools, frameworks and architectural approaches as the platform evolves
What We're Looking For:
- Strong commercial experience in data engineering or backend software engineering
- Advanced Python development skills
- Strong SQL skills, including complex querying and data modelling
- Hands-on experience building and deploying solutions within AWS
- Experience developing production-grade data pipelines and services
- Practical knowledge of ETL and ELT tooling such as Airflow, dbt, Airbyte, Temporal or Fivetran
- Experience with data warehousing and modern data architecture patterns
- A strong understanding of data validation, testing, monitoring and quality
- Experience working within a software product or technology-led environment
- Strong communication skills and the ability to work across technical and non-technical teams
Up to £90,000 plus benefits.
All conversations will be treated in the strictest of confidence.
Senior Data Engineer (Python, AWS) employer: MCS Group | Your Specialist Recruitment Consultancy
Join a well-established Managed Service Provider in County Tyrone, where you will be part of a friendly and collaborative team that values customer service and technical excellence. With opportunities for ongoing development and exposure to Level 2 responsibilities, this role is perfect for those looking to grow their IT support career in a supportive environment. Enjoy a competitive salary and the chance to work alongside experienced engineers dedicated to your professional growth.
Contact Details:
MCS Group | Your Specialist Recruitment Consultancy Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Python, AWS)
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We think you need these skills to ace Senior Data Engineer (Python, AWS)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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