Principal Data Platforms Engineer
3 days ago
We are seeking a highly skilled Principal Data Platforms Engineer to join our team at Simple Machines. As a key member of our data engineering team, you will be responsible for designing, building, and maintaining large-scale data systems that drive business insights and decision-making.
Key Responsibilities- Data Engineering: Develop and implement data pipelines, data warehouses, and data lakes using various tools and technologies such as Databricks, Snowflake, Google Cloud, and AWS.
- Cloud Data Management: Design and implement cloud-based data architectures that ensure data security, compliance, and scalability.
- Consulting: Provide expert advice to clients on data engineering best practices, data architecture, and data governance.
- Leadership: Lead project teams, manage project scope, timeline, and resources, and ensure timely delivery of services.
- Technical Skills: Proficient in SQL, Spark, Databricks, Snowflake, and various storage technologies such as S3, BigQuery, Cassandra, and MongoDB.
- Cloud Experience: Experience with cloud-based data services such as AWS Redshift, S3, Google BigQuery, and Google Cloud Storage.
- Leadership: Proven experience in leading project teams, managing project scope, timeline, and resources, and ensuring timely delivery of services.
- Consulting: Experience in providing expert advice to clients on data engineering best practices, data architecture, and data governance.
- Competitive Salary: A competitive salary and benefits package.
- Pension: Up to 5% employer contribution, matching up to a 5% employee contribution, for a total of up to 10%.
- Annual Leave: 4 weeks standard + 1 week additional annual leave over Christmas shut down period, plus public holidays.
- Professional Development: £1,500 annual budget for training, courses, and conferences, with potential for additional funding.
Simple Machines is a leading independent boutique technology firm with a global presence. We specialise in creating technology solutions at the intersection of data, AI, machine learning, data engineering, and software engineering. Our mission is to help enterprises, technology companies, and governments better connect with and understand their organisations, their people, their customers, and citizens.
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