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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 in the UK, France, Hungary, Slovakia, Bulgaria, Vietnam, Singapore, Italy, Romania and South America, we embrace diversity and make sure everyone is happy to 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 support 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 Details

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

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

Key Responsibilities

- Lead the design, development, and optimization 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 modernization 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

This role requires an impressive tech stack along with an amazing personality to thrive in our dynamic and diverse environment. You will need 5 years of experience to qualify for the position as well as the following skills.

Technical Skills

- 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

- Fluent in English
- Excel in client‑facing interactions
- Comfortable working in a distributed team
- Excellent communication skills
- Love working in an agile environment
- Self‑starter and don’t need someone to tell you what to do all the time
- Takes pride in your work

Why Join Infinite Lambda

- We support your growth with dedicated learning time, access to top‑notch resources and a knowledge‑sharing culture;
- You work autonomously here in a wholesome environment and get as much paid holiday as you need;
- The projects are diverse and give you plenty of opportunity to experiment with new tech;
- The benefits are plenty, with private health insurance, work‑from‑home budget, a company MacBook and more on the list.

Equal Opportunity Employer

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.

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.

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