Lead Data Engineer (Teradata/Hadoop)

About the Role

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.

What you'll do

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.

What You Will Need to Succeed

Education:

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline

Experience:

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.

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