Lead Data Engineer (Teradata/Hadoop)

We are seeking a Senior Data Engineer with deep expertise in enterprise data platforms, banking domains, and large-scale data delivery. In this role, you will lead the design and development of robust data pipelines across Teradata, Hadoop/Cloudera, and cloud ecosystems while mentoring engineering talent and driving technical excellence.

• Architecture & Development: Lead the design and implementation of scalable batch, streaming, and API-based data pipelines, historical-data processing frameworks, SCD/CDC mechanisms, and semantic-layer data products.
• Performance & Optimisation: Optimise complex SQL queries, Spark workloads, partition strategies, and storage frameworks for large-volume processing within regulated enterprise banking environments.
• Infrastructure & Automation: Implement infrastructure-as-code using Terraform and establish automated CI/CD pipelines, containerised deployments, and rigorous testing standards.
• Leadership & Collaboration: Drive code reviews, enforce engineering standards, mentor junior engineers, and partner closely with architects, product teams, DevOps, and business stakeholders.

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline
• At least 10 years of data-engineering experience, with technical leadership in Teradata and Hadoop/big-data delivery.
• Preferred Certifications: Teradata, Cloudera, Databricks, Cloud Data Engineering, or Terraform
• Core Technologies: Teradata, Hadoop/Cloudera, Spark, Hive, Impala, HBase, SQL, Python, Scala/Java, Kafka, Airflow, and Denodo.
• Infrastructure & DevOps: Terraform, Kubernetes/OpenShift, Git, and CI/CD automation tools.
• Domain Expertise: Enterprise banking data (Customer, Payments, Risk, Finance, AML, and Regulatory Reporting) with a strong focus on data quality, reconciliation, lineage, and historical reconstruction.
• Core Competencies: Demonstrated technical leadership, disciplined delivery in regulated settings, exceptional communication skills, and accountability for production-ready outcomes.