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Infinite Lambda Logo Infinite Lambda · IT - Software Development

T-Shaped Data Engineer

B2B · Job Posted May 20, 2026
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Job Description

We are hiring a T-shaped Senior Data Engineer to join our team supporting a high-impact engagement with a large US-based client. The client is modernizing its sprawling legacy MSSQL data reporting ecosystem and migrating to a modern Databricks Lakehouse on Azure (target stack includes Databricks, Delta Live Tables, dbt, and strong data governance). As a T-shaped engineer, you’ll bring deep expertise in Databricks and data platform modernization, combined with broad knowledge across the data engineering landscape. You’ll design and build scalable, reliable data solutions while working closely with US stakeholders in a client-facing capacity. This is a hands-on role involving legacy migration (including stored procedures), building modern pipelines, and helping drive the full data stack transformation.

Job Responsibility

  • Lead the design, development, and optimisation of data pipelines using Databricks (including Delta Live Tables / Lakeflow) on Azure
  • Migrate and refactor legacy stored procedures and sprawling MSSQL processes into modern, governed Databricks solutions
  • Contribute to data platform modernisation initiatives, including medallion architecture, data quality, and governance practices
  • Collaborate with the client’s team and our Analytics Engineers to deliver high-quality, production-ready data assets
  • Work in a client-facing consulting environment: gather requirements, provide recommendations, and professionally push back when needed to ensure the best technical outcomes
  • Apply broad data engineering skills (pipelining, orchestration, cloud infrastructure) while deepening your expertise in the modern data stack

Requirements

  • 5+ years of experience
  • Programming languages: Python, Java, Scala or Golang
  • Cloud providers: AWS, GCP, Azure (Azure is preferred)
  • Data warehousing: Snowflake, Databricks, Redshift, Greenplum, Oracle, DB2 or similar (must have experience with Snowflake or Databricks)
  • Data pipelining tools: Snowplow, Fivetran, dbt, Talend
  • Relational databases: Oracle, PostgreSQL, MySQL, Microsoft or similar
  • NoSQL Databases: MongoDB (Atlas), Cassandra, DynamoDB or similar
  • Streaming Technologies: Kinesis, Kafka or Google PubSub or similar
  • Containers & container orchestration: Docker & Kubernetes
  • Workflow Orchestration: Airflow, Cadence Workflow
  • OS: Linux, MacOS
  • Version control: Git
  • Big data stack: Spark, EMR, Hadoop, Hive, Presto
  • Fluency in English
  • Exceling in client-facing interactions
  • Comfortable working in a distributed team
  • Excellent communication skills
  • Agile mindset
  • Self-starter

What we offer

  • Private health insurance
  • Work-from-home budget
  • Unlimited paid holiday
  • Wellness benefits
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