Data Architect at RSM leading AI - driven data migration initiatives within Salesforce ecosystem. Implementing data governance and optimizing performance across complex datasets.
About the role
- Data Engineer developing tools for maintaining data integrity in cargo tracking at Kpler. Collaborating with analysts and engineers to enhance data quality management.
Responsibilities
- Build tools and analytical capabilities for data integrity in cargo tracking data
- Create scripts, CLI utilities, and web-based UIs that empower analysts to perform data quality interventions
- Query and analyse substantial datasets to surface insights and identify data quality issues
- Work alongside software engineers to improve the overall quality of tracking systems
- Understand day-to-day challenges analysts face and translate those into technical solutions
- Create clear documentation for tools and processes to ensure knowledge sharing
- Develop automated checks and monitoring systems that flag data anomalies
- Rapidly test new approaches to data quality challenges
Requirements
- Experience extracting, transforming and analysing data from databases and APIs
- Comfortability working with large, unstructured datasets too complex for standard spreadsheet tools
- Experience tackling problems that have required learning new tools or technical approaches
- Background working as part of a multidisciplinary team, particularly with mixed technical/non-technical colleagues
- Proficiency in Python (or demonstrable ability to become proficient quickly)
- Experience building CLI tools, or scripts that automate processes and improve team efficiency
- Familiarity with Git-based workflows and code reviews
- A mindset that prioritises delivering practical, workable solutions over chasing perfect ones that never ship
- The inclination to take ownership of problems, using initiative to tackle issues, without waiting to be asked
Benefits
- Fair, inclusive and diverse work-environment
- Supportive colleagues and clients with a friendly approach
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Senior Data Engineer at Capgemini designing and optimizing scalable data architectures on Databricks and GCP. Collaborating across teams to transform business needs into reliable technical solutions.
Data Engineer transforming legacy on - premises systems to cloud - native architectures for advanced data analytics. Collaborating with teams to build efficient data solutions using Python and AWS.
Data Engineering Academy focused on Snowflake and Databricks for professionals interested in expanding their technical capabilities. Fully remote with future office work in Monterrey or Saltillo after completion.
Senior Data Engineer at Intent HQ designing and scaling data platforms. Building high - impact intelligence from millions of customer insights with a focus on performance and reliability.
SAP Data Engineer supporting MERKUR GROUP's evolution into a data - driven company. Responsible for data integration, modeling, and collaboration with various departments in Group Finance.
Data Engineer at Booz Allen Hamilton organizing data and developing advanced technology solutions. Leading data engineering activities for mission - driven projects and mentoring multidisciplinary teams.
Senior Data Engineer at Bristol Myers Squibb developing scalable data pipelines for foundational products. Collaborating with data scientists and IT professionals to ensure data quality and accessibility.
Sr. Data Engineer building and maintaining data infrastructure for Purpose Financial. Collaborating with teams to improve data services and analytics.
Data Engineer II role focusing on developing and maintaining data pipelines for analytics. Collaborating with Data Science and Analytics teams to ensure data quality and reliability.