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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.

    learn more

    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

  • Flowline
    Flowline by Infinite Lambda
    Solution

    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.

    see how

    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

  • Case studies
  • Events
  • Tech blog

    Tech blog

    We are keen on sharing knowledge, so head to the blog for tips on cutting-edge implementations.

    Visit the Blog

    You have a vision.
    We have the experience.

    BOOK: DATA & AI: FAST AND SLOW

    TECH GUIDE: ML REAL-TIME SEARCH PERSONALISATION

    WHITE PAPER: BUILDING TREs IN THE CLOUD

Careers

Senior Data Engineer

We are looking to expand our team of data engineers to help us create highly-durable, highly-scalable and highly-loved data solutions for our partners. Here, you will be using cutting-edge technologies and constantly adding to your skillset to produce outstanding results.

As a data engineer at Infinite Lambda, you will be involved in everything from writing custom code for data pipelines (batch and streaming) to using ETL tools, implementing data warehouse models (SQL), supporting existing processes and generally doing DevOps tasks on the cloud.

Apply now

Requirements

  • Programming languages: Python, Java, Scala or Golang
  • Cloud providers: AWS, GCP, Azure (Azure is preferred)
  • Data warehousing: Databricks (min 3 years), Snowflake, Redshift, Greenplum, Oracle, Db2 or similar
  • 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
  • Excellent communication, including client-facing interactions
  • Feeling at ease in a distributed team
  • Being comfortable in an agile environment
  • Being a self-starter
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