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 bleeding-edge practices.
Our mission is to bring top professionals together to make an impact at the intersection of tech and sustainable growth. With distributed teams based in the UK, France, Hungary, Slovakia, Bulgaria, Vietnam, Italy and Romania, we embrace diversity and make sure everyone is happy to be their true self at work.
About the role
We expect the candidate to have 3~5 years of experience working in data engineering.
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Headcount for Hiring: 2-5
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Work Arrangement: Hybrid
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Location: Situated in the vibrant HarbourFront area
Requirements
You need familiarity with:
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SQL (fluency is a must)
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Python, particularly in context of data transformation and Machine Learning frameworks
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Experience working in data modeling/transformation and ETL/ELT processes
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Cloud Providers: AWS, GCP, or Azure
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Data Warehousing: Snowflake, Databricks, Redshift, Greenplum, Oracle, DB2 or similar (Experience with dbt, Snowflake, Databricks, or BigQuery is a plus)
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BI tools (e.g. Looker / Tableau Software / Qlik / Power BI)
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ML and MLOps: Experience with developing and productionizing ML models in a Cloud Provider environment
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Version control: Git
The following soft skills are also highly appreciated:
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You are comfortable working in a distributed team
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You have excellent communication skills
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You love working in an agile environment
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You are a self-starter and don’t need someone to tell you what to do all the time
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You take pride in your work
▶ ▶ 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.
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.
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