Data Engineer

Arrow Global Group; Lisboa; Presencial; EUR 65 000 - 90 000; Tempo integral

Resumo da oferta

Arrow Global Group in Portugal seeks an experienced Azure Data Engineer to build and maintain resilient data pipelines across multiple datasets in the financial services domain. You will ingest raw data, shape it into relational models, and ensure auditable data delivery for analytics and risk reporting.

The role requires strong Python, PySpark, Spark SQL and Databricks expertise, plus the ability to collaborate with Data Stewards and Analysts to define optimal data flows.

Qualificações

• Degree in Computer Science, Information Systems, Data Science, or related field.
• Proven experience building resilient, reusable Data Pipelines as a Data Engineer.
• Background in Financial Services/Capital Markets data is a plus.
• Strong communication and collaboration skills.

Responsabilidades

• Serve as the team's ADF, Databricks, Python, PySpark & Spark SQL expert.
• Handle day-to-day ingestion of raw data into data assets.
• Formalize data flows and data standards with the team.
• Enable trusted datasets for analytics, risk, and finance.

Conhecimentos

Azure Data Engineer

Databricks

Python

PySpark

Spark SQL

Data Pipelines

Data Ingestion

Data Architecture

Communication

Self-starter

Formação académica

Degree in Computer Science/IS/Data Science

Ferramentas

ADF

Databricks

Descrição da oferta de emprego

Department: IT & Change

Location: Portugal

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