OneSix · 5 months ago
Data Engineer
OneSix is a leading data and artificial intelligence consultancy that helps businesses scale growth and efficiency. They are seeking a Data Engineer with experience in the financial services sector to design, build, and maintain scalable data platforms that support complex financial data workflows and analytics.
EnterpriseInformation ServicesInformation TechnologySoftware
Responsibilities
Develop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments
Design and implement efficient data models, data warehouses, and data lakes optimized for financial reporting and analytics
Optimize performance, scalability, and reliability of data storage and processing systems
Monitor data pipelines and troubleshoot issues promptly to minimize downtime
Collaborate with data scientists, analysts, and engineers to ensure data availability, quality, and integrity
Participate in code reviews, automated testing, and deployment processes to maintain high-quality data engineering standards
Ensure compliance with industry-specific regulatory requirements for data security and privacy
Demonstrate in-depth technical capabilities and professional knowledge
Define the architecture, design solutions, and support test and implementation of business intelligence and software applications
Engage with internal leadership and teams to deliver solutions and drive projects
Focus on the business value of solutions while leveraging technology to solve data challenges in financial services
Qualification
Required
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
Company
OneSix
OneSix is a leading data and artificial intelligence (AI) consultancy that drives real, practical business outcomes.
Funding
Current Stage
Growth StageRecent News
2025-04-22
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