Data Engineer

Description

• Promote collaboration and team alignment
• Embrace and engage with new people and ideas
• Encourage tier 1s and others to bring new ideas forward
• Identify solutions at the lowest possible level
• Shared responsibility for delivery the project outcomes

Requirements

• Be open to other’s points of view and ideas, be willing to debate and to compromise
• Clearer and faster decision making
• A degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience)
• In-depth understanding of components required for pipeline development (i.e. Delta Lake, Unity Catalog, Databricks SQL, Pyspark and Azure Data Factory)
• Excellent communication skills, with the ability to work collaboratively across teams.
• Proven experience as a Data Engineer or in a similar role, with a strong understanding of data engineering principles and practices
• Strong understanding of Delta Lake features (ACID transactions, schema enforcement, time travel, DML operations and Z-ordering.
• Strong problem-solving and analytical skills, with the ability to work with large, complex datasets.
• Proficiency in SQL and extensive experience in developing and optimizing notebooks for data processing, analysis and ML.
• Communicate clearly and consistently
• Knowledge of data security best practices and compliance requirements.

Benefits

• Flexible and hybrid working options.
• Bonus: 5% annual bonus.
• Pension Contributions: Defined Contribution Pension Scheme with up to 7.5% employee contribution 15% employer contribution.
• Competitive salary, comprehensive benefits, and opportunities for career development.
• Annual Leave: 28 days per annum, increasing to 30 days after 5 years of service, plus bank holidays.

Training + Development

Interview process

Visa Sponsorship

Security clearance