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  • Agentic blueprint
    Vision

    Agentic enterprise blueprint

    Al agents are only as good as the data foundation and the business context beneath them. Here is how you build these.

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    Modern data platform

    Cloud-native infrastructure, designed for enterprise Al

    Business context

    Ontology, canonical metrics, semantic layer

    AI agents

    Infinite possibilities when the foundation actually works

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    Flowline by Infinite Lambda
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    Data & AI modernisation
    as software

    Flowline crawls your legacy estate, converts it to a modern stack, and produces a first-pass ontology in one continuous motion.

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    ETL modernisation

    Informatica, Talend, SSIS to Snowflake, dbt, and Fivetran:
    dependency-aware and fully reconciled

    Business ontology & semantic layer

    Reverse-engineered logic, canonical definitions, agent-ready
    context on Omni

    BI modernisation

    Al-powered analytics onto the modern semantic layer

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Careers

T-Shaped Data Engineer (LATAM)

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.

  • Contract type: Contractor through B2B
  • Expected start date: Early June 2026

 

We do not accept applications for this role at this moment.

Apply now

Key responsibilities

  • 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

soft skills

  • Fluency in English
  • Exceling in client-facing interactions
  • Comfortable working in a distributed team
  • Excellent communication skills
  • Agile mindset
  • Self-starter

 

Submit your CV in English in PDF.

Mind that as we are an international team, internal communication is in English.

Please note that we do not sponsor visas.

As a final step in the hiring process, applicants are required to undergo a criminal background check with an accredited third-party screening company. Employment offers depend on the successful completion of this background check and the verification of all relevant information. We will request your explicit written consent before any screening begins.

We are committed to fair hiring practices and will consider all qualified applicants in accordance with applicable federal, state, and local laws governing criminal background inquiries.

Apply now

Commitment to equal opportunities

Infinite Lambda is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect. Accordingly, our selection process will never discriminate against applicants on the grounds of any characteristics, such as disability, age, gender, sexual orientation, family status, race, faith or other.

Why Join us

We want to see you thrive with us.

Apply now

Being Your True self

Thrive in a supportive and inclusive team that is lucky to have you for who you truly are.

Practising innovation

Use cutting-edge tech at a front seat to the rapid evolution of cloud and data.

Living autonomously

Pick your location, manage your time and forget about logging office visits. Life is too short for red tape.

Learning & Growth

Get dedicated learning and development time, access to top-notch learning portals and use coaching opportunities.

Enjoying the perks

Get private health insurance, work-from-home budget, unlimited paid holiday and wellness benefits.

Our hiring process

01
Application review
02
Screening assessment
03
Technical interview
04
Cultural conversation