Data Engineer - Manager at PwC
At a glance
- Company
- PwC
- Location
- United Kingdom
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this PwC job
- 🏢 PwC has 22 jobs here, 17 with visa sponsorship see all
- 📊 13 Data Engineer jobs in the United Kingdom in the last 60 days see them
- 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
- 💡 No salary shown. Ask PwC if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Lead and develop one or more data engineering teams, foster collaboration and coach engineers to improve delivery quality.
- Define technical direction for data platforms, pipelines and analytics infrastructure; set standards and best practices.
- Contribute hands-on to solution design and implementation, perform code reviews and resolve complex technical issues.
- Drive adoption of modern tooling and patterns (Spark, Databricks, Microsoft Fabric, ADF, FastAPI, CI/CD, observability).
- Engage stakeholders to gather requirements, prioritise work and ensure data solutions deliver measurable business value.
- Oversee deployment, validation, monitoring and performance tuning to maintain accuracy, reliability and scalability.
Requirements:
- 4+ years of professional data engineering experience with proven leadership or management of cross-functional delivery.
- Strong object-oriented Python skills and practical experience with large-scale processing (Apache Spark).
- Experience building/exposing data services via APIs (e.g., FastAPI) and working with cloud data platforms (Azure, Databricks, Fabric, ADF).
- Familiarity with ML frameworks (PyTorch/TensorFlow) where relevant, and effective use of developer tooling (Git, CI/CD, code-assist tools).
- Solid understanding of data modelling, data architecture and BI optimisation for analytics/AI workloads.
- Strong communication, stakeholder management and ability to operate in ambiguous, client-facing environments.
Responsibilities
You will lead and develop teams of data engineers to design and deliver scalable data solutions for complex business challenges. You will also provide technical direction for data pipelines and infrastructure while collaborating with stakeholders to ensure high-quality, impactful results.
Requirements
The role requires at least 4 years of data engineering experience and proven leadership capabilities in complex environments. Candidates must possess strong Python skills, experience with Apache Spark, and proficiency in cloud-based data platforms.
Key skills
- Data engineering — in 120 other listings on The Stack
- Python — in 1200 other listings on The Stack
- Apache Spark — in 14 other listings on The Stack
- Data modeling — in 184 other listings on The Stack
- Cloud platforms — in 69 other listings on The Stack
- API development — in 126 other listings on The Stack
- FastAPI — in 91 other listings on The Stack
- Databricks — in 46 other listings on The Stack
- Microsoft Fabric
- Azure Data Factory
- Palantir
- Agile
- DevOps
- Team leadership
- Data architecture
- Machine learning
On The Stack (as of 2026-11-05)
Frequently asked questions about PwC
Is this Data Engineer - Manager role still open?
It was posted on 2026-10-15 and is listed as active on The Stack. Confirm on PwC's application page before applying.
Does PwC offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on PwC's site.
Where is this role located?
The listing gives the location as United Kingdom. It is marked on-site.
What skills does this role ask for?
The listing names: Data engineering, Python, Apache Spark, Data modeling, Cloud platforms, API development, FastAPI, Databricks, Microsoft Fabric, Azure Data Factory, Palantir, Agile, DevOps, Team leadership, Data architecture, Machine learning.