Data Engineer

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July 29

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OneSix

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Artificial Intelligence • Data & Analytics • Healthcare & Life Sciences

OneSix is a company that harnesses the power of data and AI to drive practical business outcomes across various sectors. With expertise in Data & AI Strategy, Data Engineering, Data Analytics, and AI & Machine Learning, they provide end-to-end solutions tailored to meet the unique challenges in industries such as Financial Services and Healthcare. Their skilled team of Data Engineers, Data Scientists, and AI/ML Engineers work closely with clients to unlock data potential and enhance operational efficiency.

51 - 200 employees

Founded 2013

🤖 Artificial Intelligence

📋 Description

• OneSix is a leading data and artificial intelligence (AI) consultancy that helps businesses build the strategy, technology, and teams they need to scale growth and efficiency. • OneSix is a fast-growing firm with significant career opportunities for motivated professionals who want to help create a unique company. • OneSix is seeking an energetic and passionate Data Engineer with solid experience in the financial services sector. • In this role, you will work on Client project teams with a focus on designing, building, and maintaining scalable and secure data platforms that support complex financial data workflows and analytics. • Your work will empower internal teams by delivering reliable, performant data infrastructure tailored to the unique demands of financial services.

🎯 Requirements

• Prior experience working in either Data Warehousing or Business Intelligence, with exposure to architecting and/or building cloud-based data platforms considered a significant advantage. • Experience working with major cloud and on-premise database technologies such as Snowflake, Redshift, BigQuery, Azure Synapse, SQL Server, Oracle, Postgres, and/or MySQL. • Experience with one or more commercial cloud platforms — AWS, Azure, or Google Cloud. • Technical experience in ETL/ELT tools such as Fivetran, DBT, Matillion, SSIS, Coalesce, Talend, Informatica, or Rivery. • Expertise with Business Intelligence/Data Visualization tools such as Power BI, Tableau, Looker, Sigma, Pyramid Analytics, ThoughtSpot, Sisense, or Qlik. • Experience designing and implementing data models for applications and/or reporting purposes. • Strong desire to work hands-on developing Data Lakes, Data Warehouses, and other performance management solutions across various industries and functional disciplines. • Demonstrated problem-solving and quantitative skills, combined with excellent written and verbal communication skills. • Experience with real-time data processing frameworks such as Kafka, Spark, or similar. • Background working with financial datasets, including transactional data, risk metrics, or compliance reports. • Familiarity with automated testing, CI/CD pipelines, and infrastructure as code.