Senior Python Data Engineer - AI

Synechron is looking for aSenior Data Engineerto join their Data and AI Practice to work on a multi - year, AI programme of work within a leading financial institution.

Role Overview:

We are seeking a talented Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. Your work will ensure reliable, efficient, and secure data flow across systems, enabling advanced analytics, reporting, and business insights.

Key Responsibilities:

• Develop and optimise data pipelines
• Build and maintain data infrastructure on cloud platforms (Azure)
• Collaborate with data scientists and analysts to support data workflows
• Ensure data security, reliability, and performance at scale
• Monitor and troubleshoot data pipelines and systems

Qualifications & Skills:

• x5 + experience with Python programming for data engineering tasks
• Strong proficiency in SQL and database management
• Hands-on experience with Databricks and Apache Spark
• Familiarity with Azure cloud platform and related services
• Knowledge of data security best practices and compliance standards
• Excellent problem-solving and communication skills

Multi-Year Project - Flexible Start Date - Competitive Rates - London based (x3 days in office)

Synechron's Diversity Statement

Synechron are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference' is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.