Data Engineer
Posted 1 week ago by Queen Square Recruitment
Negotiable
Inside
Undetermined
England, United Kingdom
Summary: The Senior Data Engineer role focuses on leveraging Alteryx and Dataiku to design, develop, and maintain ETL pipelines and data workflows. The position requires collaboration with Agile teams to migrate existing workflows and optimize cloud-based data systems. Candidates should have extensive experience in data engineering and a strong background in SQL and Python. This long-term contract role is based in London, Hove, or Cardiff.
Key Responsibilities:
- Develop and optimize automated data pipelines using Alteryx and Dataiku DSS.
- Migrate and convert workflows between platforms, leveraging Python for efficiency.
- Implement data quality checks and governance processes.
- Collaborate with analytics teams, data scientists, and business stakeholders.
- Manage cloud-native data systems in AWS or Azure.
- Document processes and solutions, working within Agile teams using tools like JIRA.
Key Skills:
- 5+ years hands-on experience with Alteryx Designer and Dataiku DSS.
- Strong proficiency in SQL and Python for data manipulation.
- Experience with RDBMS and cloud platforms (AWS, Azure, GCP).
- Familiarity with DevOps practices (GitLab CI/CD, PowerShell scripting).
- Ability to troubleshoot complex issues and provide solution design.
- Effective communication with IT and business stakeholders.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Senior Data Engineer – Alteryx & Dataiku
Location: London/Hove/Cardiff
Rate: Competitive, inside I35
Contract Type: Long term contract 6 months ++
About the Role: We are seeking an experienced Data Engineer with hands-on expertise in Alteryx and Dataiku DSS to join a dynamic team. You will design, develop, and maintain ETL pipelines and data workflows , collaborating with Agile teams to deliver high-quality data solutions. The role involves migrating existing Alteryx workflows into Dataiku and optimizing automated pipelines for cloud-based data systems.
Key Responsibilities:
- Develop and optimize automated data pipelines using Alteryx and Dataiku DSS .
- Migrate and convert workflows between platforms, leveraging Python for efficiency.
- Implement data quality checks and governance processes.
- Collaborate with analytics teams, data scientists, and business stakeholders.
- Manage cloud-native data systems in AWS or Azure.
- Document processes and solutions, working within Agile teams using tools like JIRA .
Essential Skills & Experience:
- 5+ years hands-on experience with Alteryx Designer and Dataiku DSS.
- Strong proficiency in SQL and Python for data manipulation.
- Experience with RDBMS and cloud platforms ( AWS, Azure, GCP ).
- Familiarity with DevOps practices ( GitLab CI/CD, PowerShell scripting ).
- Ability to troubleshoot complex issues and provide solution design.
- Effective communication with IT and business stakeholders.
Desirable Skills:
- Experience with big data frameworks (e.g., PySpark).
- Domain knowledge in industries such as Insurance .
- Familiarity with BI tools (Qlik, Power BI).
Why Join:
- Work on cutting-edge data engineering platforms .
- Collaborate with experienced data scientists and engineers.
- Opportunity to drive solutions in a cloud-first, Agile environment .
Application: If you have the expertise in Alteryx, Dataiku, Python, SQL , and cloud platforms, and are looking for a hands-on, impactful role, we’d love to hear from you.