Summary: Infinite Lambda is seeking a T-shaped Senior Data Engineer to join their team, focusing on modernizing legacy data systems and migrating to a Databricks Lakehouse on Azure for a US-based client. Highlights: 1. Work on high-impact client engagements with cutting-edge data and AI technology 2. Lead design and optimization of data pipelines using Databricks on Azure 3. Collaborate with clients in a consulting environment **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 and having distributed teams based in the UK, France, Hungary, Slovakia, Bulgaria, Vietnam, Singapore, Italy, Romania and now expanding to 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 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**: 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 is an exciting role that 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: * 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 The following **soft skills** are also highly appreciated: * You are fluent in English * You excel in client\-facing interactions * You are comfortable working in a distributed team * You have excellent communication skills * You love working in an agile environment * You are a self\-starter and don’t need someone to tell you what to do all the time * You take 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. 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**. In the US, 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. *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.*