Lead Data Engineer Banking

Associate Specialist - Recruitment at Synechron

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile‑first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

We are seeking an experienced Lead Data Engineer to spearhead our data infrastructure initiatives. The ideal candidate will have a strong background in building scalable data pipelines, with hands‑on expertise in Kafka, Snowflake, and Python. As a key technical leader, you will design and maintain robust streaming and batch data architectures, optimise data loads in Snowflake, and drive automation and best practices across our data platform.

$/yr - $/yr

• Design, develop, and maintain reliable, scalable data pipelines leveraging Kafka, Snowflake, and Python.
• Lead the implementation of distributed data processing and real‑time streaming solutions.
• Manage Snowflake data warehouse environments, including data loading, tuning, and optimisation for performance and cost‑efficiency.
• Develop and automate data workflows and transformations using Python scripting.
• Collaborate with data scientists, analysts, and stakeholders to translate business requirements into technical solutions.
• Monitor, troubleshoot, and optimise data pipelines and platform performance.
• Ensure data quality, governance, and security standards are upheld.
• Guide and mentor junior team members and foster best practices in data engineering.

• Proven experience in building and maintaining data pipelines, especially using Kafka, Snowflake, and Python.
• Strong expertise in distributed data processing frameworks and streaming architectures.
• Hands‑on experience with Snowflake data warehouse platform, including data ingestion, performance tuning, and management.
• Proficiency in Python for data manipulation, automation, and scripting.
• Familiarity with Kafka ecosystem tools such as Confluent, Kafka Connect, and Kafka Streams.
• Solid understanding of SQL, data modelling, and ETL/ELT processes.
• Knowledge of cloud platforms (AWS, Azure, GCP) is advantageous.
• Strong troubleshooting skills and ability to optimise data workflows.
• Excellent communication and collaboration skills.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
• Experience with containerisation (Docker, Kubernetes) is a plus.
• Knowledge of data security best practices and GDPR compliance.
• Certifications related to cloud platforms or data engineering preferred.

• A highly competitive compensation and benefits package.
• A multinational organisation with 58 offices in 21 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long‑/short‑term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focussed on skills, substantive knowledge and personal development.
• On‑demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Fin Labs and CoE groups.
• Cutting‑edge projects at the world’s leading tier‑one banks, financial…