Data Engineer - Hybrid - Outside IR35 - £425 per day

Summary: Data Engineer position available with a leading insight/analytics software provider, requiring expertise in Azure data solutions and data pipeline architectures. The role is hybrid, necessitating in-office attendance weekly. Candidates should possess strong coding skills and a solid understanding of data governance and architecture.

Key Responsibilities:

• Develop Azure data solutions
• Design Data Lakehouse architecture built on ADLS
• Create data pipeline architectures using ADF and Databricks
• Manage Azure SQL database
• Implement technical governance including version control and CI/CD
• Design, construct, administer, and maintain data warehouses and data lakes
• Communicate effectively both orally and in writing
• Collaborate as a team player with a positive attitude
• Analyze data with strong attention to detail and problem-solving skills
• Manage time effectively and work in an agile environment

Key Skills:

• Experience with Azure data solutions
• Knowledge of Data Lakehouse architecture and ADLS
• Proficiency in ADF and Databricks for data pipelines
• Strong skills in Azure SQL database
• Excellent coding skills in PySpark and SQL
• Experience with technical governance, version control, and CI/CD
• Strong understanding of data warehouses and data lakes
• Excellent communication skills
• Self-motivated and flexible
• Strong analytical and problem-solving skills
• Good time management skills
• Familiarity with agile methodology

Salary (Rate): £425 per day

City: London

Country: UK

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Data Engineer is required by this leading insight/analytics software provider. You must be able to demonstrate experience across the following areas.

This is a hybrid role with time in the office each week, only apply if you are comfortable with this.

• Azure data solutions development experience
• Data Lakehouse architecture built on ADLS
• Data pipeline architectures using ADF and Databricks
• Azure SQL database
• Excellent coding skills in PySpark and SQL.
• Technical governance experience such as version control and CI/CD.
• Strong understanding of designing, constructing, administering, and maintaining data warehouses and data lakes.
• Excellent oral and written communications skills
• Highly driven, positive attitude, team player, self-motivated and very flexible
• Strong analytical skills, attention to detail and excellent problem solving/troubleshooting
• Good time management skills
• Knowledge of agile methodology