Director leading strategy, governance, and delivery of enterprise data platform at Phillips 66. Partnering with AI, Data Science, and business teams to enhance analytics and business systems.
About the role
- Senior Data Engineer building robust data systems at knok, enhancing healthcare access through digital technology. Collaborating across teams to provide valuable insights and solutions.
Responsibilities
- Combine raw data from multiple sources into consistent and machine-readable formats,
- Design, build and maintain data systems and ETL pipelines;
- Monitor, test and optimise data flows;
- Analyse large datasets and uncover meaningful trends and insights;
- Evaluate business needs and translate them into data solutions;
- Explore ways to improve data quality, accessibility and reliability;
- Develop and maintain analytical tools and reporting frameworks;
- Collaborate with analysts, product managers and other stakeholders on cross-functional projects;
- Monitor the cost and efficiency of data infrastructure.
Requirements
- Degree in Computer Science, IT or similar (Master’s is a plus);
- Proven experience as a Data Engineer or in a similar role;
- Proficiency in Python (OOP, unit testing, APIs, etc.);
- Solid understanding of ETL processes and data modelling;
- Experience with SQL and orchestration tools (e.g. Airflow);
- Experience with columnar databases (Redshift, BigQuery, Snowflake);
- Experience with version control (e.g. GitHub);
- Experience with dbt and cloud services (AWS, Heroku) is a plus;
- Strong analytical and problem-solving mindset;
- Ability to communicate technical concepts to non-technical stakeholders;
- Excellent time management and task prioritisation;
- Team-oriented, curious and eager to learn.
Job title
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Tech skills
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