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Date live:
Mar. 31, 2026
Business Area:
Wholesale Shared Services
Area of Expertise:
Technology
Reference Code:
JR-0000097886
Contract:
Permanent
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Explore locationEmbark on a transformative journey as a Senior Data Engineer. At Barclays, our vision is clear –to redefine the future of banking and help craft innovative solutions. We are looking for someone who is passionate, forward-thinking, and eager to make a difference. Your unique skills and perspectives will be invaluable in helping us achieve our goals. In this role, you will utilize your cloud data experience to migrate legacy data warehouses to modern cloud services by designing modules that automate migration steps and focus on data optimization for analytics and consumption. By joining us, you'll become part of a collaborative and inclusive environment where your contributions are recognized and celebrated. Let's work together to create a brighter future for banking and pave the way for transformative growth.
To be successful as a Senior Data Engineer, you should have experience with:
Delivering cloud‑native (AWS), production‑grade data pipelines and analytics‑ready data products
Databricks or equivalent Spark‑based platforms for large‑scale data processing and analytics
SQL and Python (including PySpark) for multi-faceted analytics, large‑scale transformations, and performance optimization
Scalable ELT/ETL pipelines using modern cloud data engineering patterns and tooling such as DBT, including orchestration, monitoring, and operational reliability on AWS-based platforms
Using AI coding agents to accelerate development, improve code quality, and assist with debugging, testing, and design reviews
Some other highly valued skills may include:
Familiar with Capital Market data sets and corporate finance concepts
Prior data analytics/engineering experience in IB or Asset Management industry
Exposure to GenAI‑related data curation, including curated datasets, metadata enrichment, embeddings, or feature pipelines supporting AI/ML use cases
Ability to onboard new data sources and work with structured and semi‑structured data (SQL, JSON, XML)
Data platform standards, reusable frameworks, and best practices; exposure to graph or non‑relational databases is a plus
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills.
This role is located in Whippany, NJ.
Minimum Salary: $120,000
Maximum Salary: $175,000
The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.
Barclays employees are eligible for a suite of competitive and generous employee benefits, including medical, dental and vision coverage, 401(k), life insurance, and other paid leave for qualifying circumstances.
This position is eligible for an incentive award.
Purpose of the role
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Accountabilities
Assistant Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.