Data Engineer
Data Engineer Hybrid (West Midlands) Permanent Competitive Salary + Benefits Are you passionate about building scalable data solutions and working with cutting-edge technologies like Microsoft Fabric, Azure, and Power BI? TXP is looking for a talented Data Engineer to join our growing team and help shape the future of data-driven decision-making.
We are TXP. We help businesses and organisations move forward, at pace and at scale. We believe in the transformative power of combining technology and people. By providing consulting expertise, development services and resourcing, we work closely with organisations to solve their most complex business problems.
Our work transforms organisations - and we take that responsibility seriously. We focus on success, pursue excellence and take ownership of everything we do.
But achieving that level of performance requires an inclusive and supportive working environment. We believe in the power of technology and people, and we help everyone here to succeed. At TXP, you can multiply your potential.
What You'll Be Doing
- Designing, developing, and maintaining robust data pipelines.
- Building and optimising infrastructure for scalable data solutions.
- Integrating data from diverse sources across the business.
- Ensuring data integrity, security, and compliance with best practices.
- Collaborating with cross-functional teams including analysts, developers, and business stakeholders.
- Leveraging Microsoft Fabric (Lakehouse, Data Pipelines) to modernise our data architecture.
- Supporting CI/CD and DevOps practices for data workflows.
What We're Looking For
- Proven experience as a Data Engineer or in a similar role.
- Strong coding skills in SQL, Python, and PySpark.
- Hands-on experience with Azure cloud services.
- Proficiency in Power BI, including DAX, semantic models, and Power Query M.
- Experience with Microsoft Fabric and modern data architecture.
- Familiarity with CI/CD and DevOps for data engineering.
- A detail-oriented mindset and strong problem-solving skills.
- Degree in Computer Science, Engineering, or a related field.
Bonus Skills:
- Experience with big data tools (e.g., Hadoop, Spark).
- Exposure to machine learning workflows.
- Understanding of prompt engineering concepts.
Benefits:
- 25 days annual leave (plus bank holidays).
- An additional day of paid leave for your birthday (or Christmas eve).
- Salary sacrifice, matched employer contributed pension (4%).
- Life assurance (3x).
- Access to an Employee Assistance Programme (EAP).
- Private medical insurance through our partner Aviva.
- Cycle to work scheme.
- Corporate eye-care vouchers.
- Access to an independent financial advisor.
- 2 x social value days per year to give back to local communities.
Grow with us: Work on exciting new projects. If you want to avoid getting stuck with the mundane, you're in the right place. We work in many sectors with fantastic clients, so you'll always be working on something exciting and challenging.Career growth - we've got you! We recognise that you might have a career path planned out and you might need some support to help you move forward. We're here to support you and make the most out of your time with us, through challenging work, opportunities to grow and learning and development opportunities.Be part of the TXP growth journey. We are a high growth, fast paced environment. We currently have 200+ employees and work with clients across the UK. Joining TXP means you'll be part of that.Apply now to join a collaborative, forward-thinking team. We're a consultancy that values innovation, collaboration, and continuous learning. You'll be part of a team that's shaping digital transformation for clients across sectors, with access to exciting projects and professional development opportunities.
- Company
- TXP
- Location
- Birmingham, West Midlands, England, United Kingdom
- Employment Type
- Full-Time
- Salary
- £0 per annum
- Posted
- Company
- TXP
- Location
- Birmingham, West Midlands, England, United Kingdom
- Employment Type
- Full-Time
- Salary
- £0 per annum
- Posted