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About Us

Infinite Lambda is Europe’s fastest‑growing data and cloud engineering consultancy. We empower leading companies to scale and become data‑first through agile, cloud‑native solutions and cutting‑edge practices. Our mission is to bring top professionals together to make an impact at the intersection of tech and sustainable growth. Headquartered in London with distributed teams across the UK, France, Hungary, Slovakia, Bulgaria, Vietnam, Singapore, Italy, Romania and expanding to South America, we embrace diversity and ensure everyone can be their true self at work. We have already started building teams in Brazil, Argentina and Chile and are looking forward to welcoming more teammates to contribute to meaningful projects. Together, we can grow, learn and experiment with the cutting‑edge data and AI technology (dbt and Snowflake among others) that we are all excited about.

About The Role

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 modernising its sprawling legacy MSSQL data reporting ecosystem and migrating to a modern Databricks Lakehouse on Azure. The 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 modernisation, 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.





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 expertise in the modern data stack.

Interview Process

- Intro call with TABP: 45 minutes
- TPF (Technical Progression Framework) interview with Engineering Team: 90 minutes
- EPF (Engineering Progression Framework) interview with Engineering Team: 60 minutes
- Cultural chat: 45 minutes

Contract Details

- Contract type: Contractor through B2B
- Expected start date: Beginning of June 2026

Requirements

5+ years of experience is required. The adecuado candidate will have the following technical skills:
- Programming Languages: Python, Java,



Scala or Golang
- Cloud Providers: AWS, GCP, Azure (Azure 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:
- Fluent in English
- Excellent client‑facing interaction skills
- Comfortable working in a distributed team
- Excellent communication skills
- Love working in an agile environment
- Self‑starter and proactive in driving work
- Take pride in your work

Benefits

- Dedicated learning time, access to top‑notch resources and a knowledge‑sharing culture
- Autonomous work environment and paid holiday as needed
- Diverse projects that allow experimentation with new tech
- Private health insurance, work‑from‑home budget, company MacBook and other benefits

Equal Opportunity Employer Statement

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 others.

Postúlate en Kit Empleo: kitempleo.cl/empleo/1cn38n

📌 T-shaped Data Engineer (Región Metropolitana)
🏢 Infinite Lambda
📍 Región Metropolitana