Database administration, including performance tuning, and implementing best practices.
Develop and mentor coding standards.
Implement new data maintenance processes.
Evaluate and implement recent technology solutions.
End-to-end process ownership.
Communicate with stakeholders.
Conduct knowledge exchange sessions with technical and non-technical audiences.
Automate manual processes and develop data tools.
Build new analytical processes, provide insight into data quality issues and implementation of data improvement solutions.
Build processes to fetch data from open data sources, e.g. websites.
Research and implement modern data mastering techniques to increase derived insight into disparate data sources.
Support other data engineers with design of ETL processes, code reviews, and knowledge sharing.
Develop and maintain data documentation, including data dictionaries, data flow diagrams, and data lineage.

Bachelor’s degree in computer science, data science, information systems, or other related field or equivalent work experience.
Strong knowledge of data transformation processes, exposure to standard and complex datatypes. Knowledge of latest solutions in the market is a plus.
Knowledge of Data Operations methodology and data management approaches is preferred.
AWS/GCP certification (including cloud environment administration) required.
SQL Server administration (tuning, database design and optimization).
Strong knowledge of Python and SQL required.
Experience with a variety of coding tools and languages (SSIS, C#, Python, Git/Bitbucket, APIs, NoSQL).
Experience with CoPilot Agent Studio a plus
Knowledge of Jira, AI, Graph database is preferred
Knowledge of Machine Learning and reporting tools (Power BI).
Understanding of security and version controls.
Experience in managing stakeholders and project plans.
Proficiency in Microsoft Office Suite.
Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
Where applicable, fluency in English and languages relevant to the working market.

Data Engineer I

Key skills