Data Engineer

Arrow Global Group; Manchester; On-site; GBP 65,000 - 90,000; Full time

Job summary

Arrow Global Group is seeking an Azure Data Engineer to join a new Data group in Manchester. You will build resilient data pipelines across multi-source datasets for financial services workloads, delivering auditable data at scale.

You will work with ADF, Databricks, Python, PySpark and Spark SQL, owning data flows from ingestion to warehouse, and collaborating with data stewards and analysts to ensure high‑quality data for analytics and risk insights.

Qualifications

• Degree in Computer Science, Information Systems, Data Science or related field preferred.
• Proven experience building resilient, reusable data pipelines as a Data Engineer or equivalent.
• Resourceful self-starter with ability to collaborate across business and technology.
• Strong analytical, verbal and written communication skills.
• Background in financial data domains (IBOR/ABOR, transactions, market data, reference data).
• Experience as a Data Engineer within Real Estate, Credit, Banking, or NPL Asset Management.
• Microsoft certification a plus.

Responsibilities

• Serve as the team's ADF, Databricks, Python, PySpark & Spark SQL technical expert.
• Responsible for day-to-day collection and ingestion of raw data into assets.
• Formalize data flows and data standards with the team.
• Enable trusted datasets for portfolio analytics, asset strategy, finance and risk.
• Supervise data ingestion and integration from source to target including warehouse and lake.
• Performance tune and optimize data ingestion and integration processes.
• Partner with Data Stewards and Business Analysts to understand data and design pipelines.
• Design solutions aligned to the target state Data Architecture.

Skills

ADF

Databricks

Python

PySpark

Spark SQL

Education

Degree in Computer Science, Information Systems, Data Science or related field

Job description

Description

We are seeking highly skilled and experienced Azure Data Engineers to join a newly formed group concentrating on Data. Within this role you will be a key member of the team, working on a complex and challenging project within the Financial Services/Capital Markets industry. The primary focus of the role would be on building resilient, reusable Data Pipelines to extract, load, and transform raw data into a relational data model. The successful candidate will work across complex, multi-source datasets including loan servicing systems, property and valuation platforms, collections systems, and third-party data providers, delivering reliable and auditable data at scale.

Department

IT & Change

Location

Manchester, UK

Description

We are seeking highly skilled and experienced Azure Data Engineers to join a newly formed group concentrating on Data. Within this role you will be a key member of the team, working on a complex and challenging project within the Financial Services/Capital Markets industry. The primary focus of the role would be on building resilient, reusable Data Pipelines to extract, load, and transform raw data into a relational data model. The successful candidate will work across complex, multi-source datasets including loan servicing systems, property and valuation platforms, collections systems, and third-party data providers, delivering reliable and auditable data at scale.

Key Responsibilities

• Serve as the team's ADF, Databricks, Python, PySpark & Spark SQL technical expert
• Responsible for day-to-day collection & ingestion of raw data into corporate data assets
• Work with the team to formalize data flows and data standards
• Enable trusted datasets for portfolio analytics, asset strategy, finance, and risk
• Supervise all data ingestion & integration processes from source to target including the data warehouse, data lake, etc
• Performance tune and optimize all data ingestion and data integration processes
• Partner with Data Stewards and Business Analysts to understand the nature of the data being handled and what an optimal Data Pipeline for it should look like
• Design solutions that are aligned to the target state Data Architecture

About You

• Degree in Computer Science, Information Systems, Data Science, or a related field is preferable
• Proven experience building resilient, reusable Data Pipelines as a Data Engineer or equivalent
• Resourceful, motivated self-starter with the ability to collaborate across business and technology
• Strong analytical, verbal, and written communication skills
• A background in financial data domains (IBOR/ABOR, transactions, market data, reference data)
• Strong experience as a Data Engineer within Real Estate, Credit, Banking, or NPL Asset Management
• Microsoft certification a plus