Data Engineer

Alexander Mann Solutions - Contingency; City Of London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Alexander Mann Solutions - Contingency is seeking an experienced Data Engineer to support a global consulting firm on a 12-month contract. You will design and maintain data pipelines, ensuring data quality and reliability.

Engage with technical and business stakeholders to deliver data solutions across multiple sources and warehouses, in a client-facing environment.

Contract roles involve working via Umbrella or PAYE engagement models.

Qualifications

• Strong experience using Python for data processing and automation.
• Strong knowledge of SQL, including writing complex queries and data manipulation.
• Experience building and maintaining data pipelines and ETL processes.
• Proven ability to perform data validation and quality checks.

Responsibilities

• Develop and maintain reliable data pipelines using Python and SQL.
• Extract, transform, and load data from multiple sources into databases and data warehouses.
• Perform data validation, cleansing, and quality checks to ensure accurate and reliable data.
• Troubleshoot data issues and resolve pipeline failures efficiently.
• Collaborate with technical and business teams to deliver effective data solutions and improve data processes.

Skills

Python

SQL

Data pipelines

Data quality

Troubleshooting

Client communication

Job description

AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organizations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimizing diverse talent strategies.

AMS is supporting a leading global consulting firm in hiring an experienced Data Engineer for an initial 12-month contract. (Offices in London/Birmingham/Bristol)

Responsibilities

• Develop and maintain reliable data pipelines using Python and SQL.
• Extract, transform, and load data from multiple sources into databases and data warehouses.
• Perform data validation, cleansing, and quality checks to ensure accurate and reliable data.
• Troubleshoot data issues and resolve pipeline failures efficiently.
• Collaborate with technical and business teams to deliver effective data solutions and improve data processes.

Essential Criteria

• Strong experience using Python for data processing and automation.
• Strong knowledge of SQL, including writing complex queries and data manipulation.
• Excellent problem-solving and analytical skills with the ability to investigate and resolve data-related issues.
• This is a client facing environment so excellent collaboration and communication skills with teams and clients alike, is imperative.

We will only accept workers operating via an Umbrella or PAYE engagement model.