Dabster
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in Alteryx and Dataiku, based in Surrey, UK, with a contract length of "unknown" and a pay rate of "unknown." Key skills include SQL, Python, cloud technologies (Azure/AWS), and relevant certifications.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 19, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Surrey, England, United Kingdom
-
🧠 - Skills detailed
#Cloud #Jira #Azure #Alteryx Designer #Data Integration #Data Pipeline #Qlik #PySpark #DevOps #Agile #Alteryx #Big Data #Scripting #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Snowflake #ML (Machine Learning) #Data Engineering #Python #Data Manipulation #Data Lake #Shell Scripting #RDBMS (Relational Database Management System) #Dataiku #.Net #Microsoft Power BI #Data Science #BigQuery #Data Quality #Data Framework #Consulting #Compliance #BI (Business Intelligence) #GitLab
Role description
About Us:
At Dabster, we specialize in connecting top talent with leading global companies. We are currently seeking a skilled and dedicated Data Engineer to join our client's team in Surrey, UK. Our mission is to be the foremost recruitment specialist in securing exceptional talent for a diverse range of global clients.
Who You Will Work With:
Our client is a globally recognized technology company delivering IT services, consulting, and business solutions. They partner with leading organizations worldwide to drive digital transformation, leveraging innovation and deep industry expertise to solve complex business challenges.
The Role
• As a Data Engineer specializing in Alteryx and Dataiku, you will design, develop, and maintain ETL pipelines and data workflows using these platforms. The role requires expertise in SQL, Python, cloud technologies (Azure/AWS), and collaboration within Agile teams.
• You are expected to study existing flows in Alteryx, reaffirm the complexity and migrate (rewrite/ re develop in Dataiku) with an appropriate approach agreed with the customer
Your responsibilities:
• Develop and optimize automated data pipelines with Alteryx and Dataiku for data integration, transformation, and loading into data lakes or warehouses (e.g., Snowflake, BigQuery).
• Migrate and convert workflows between platforms, leveraging Python for efficiency and reliability.
• Implement data quality checks and governance processes to ensure operational reliability.
• Collaborate with analytics teams, data scientists, and business stakeholders to define requirements and provide production support.
• Manage cloud-native data systems and services in AWS or Azure.
• Document processes and solutions, working within Agile teams using tools like JIRA.
Your Profile
Essential skills:
Hands-on experience with Alteryx Designer and Dataiku DSS; relevant certifications are desirable.
• Strong proficiency in SQL and Python for data manipulation and analytics.
• Experience with RDBMS and data querying tools.
• Familiarity with cloud platforms (AWS, Azure, GCP) and related data services.
• Troubleshooting and solution design for technical incidents.
• DevOps experience with GitLab CI/CD and PowerShell scripting.
• Effective communication with IT stakeholders and business partners.
• Development support for data science engineering and production teams.
• Design and implementation of data science platforms (Alteryx, Dataiku, Azure ML).
• Compliance with operational, risk, and change management guidelines.
• Strong analytical, reasoning, and communication skills.
Desirable skills:
• Experience with big data frameworks (e.g., PySpark).
• Domain knowledge in industries such as Insurance.
• Familiarity with BI tools (Qlik, Power BI).
How to Apply
Apply by submitting your resume today, showcasing your relevant experience and passion for the position via LinkedIn Easy Apply or directly to james.a@dabster.net
About Us:
At Dabster, we specialize in connecting top talent with leading global companies. We are currently seeking a skilled and dedicated Data Engineer to join our client's team in Surrey, UK. Our mission is to be the foremost recruitment specialist in securing exceptional talent for a diverse range of global clients.
Who You Will Work With:
Our client is a globally recognized technology company delivering IT services, consulting, and business solutions. They partner with leading organizations worldwide to drive digital transformation, leveraging innovation and deep industry expertise to solve complex business challenges.
The Role
• As a Data Engineer specializing in Alteryx and Dataiku, you will design, develop, and maintain ETL pipelines and data workflows using these platforms. The role requires expertise in SQL, Python, cloud technologies (Azure/AWS), and collaboration within Agile teams.
• You are expected to study existing flows in Alteryx, reaffirm the complexity and migrate (rewrite/ re develop in Dataiku) with an appropriate approach agreed with the customer
Your responsibilities:
• Develop and optimize automated data pipelines with Alteryx and Dataiku for data integration, transformation, and loading into data lakes or warehouses (e.g., Snowflake, BigQuery).
• Migrate and convert workflows between platforms, leveraging Python for efficiency and reliability.
• Implement data quality checks and governance processes to ensure operational reliability.
• Collaborate with analytics teams, data scientists, and business stakeholders to define requirements and provide production support.
• Manage cloud-native data systems and services in AWS or Azure.
• Document processes and solutions, working within Agile teams using tools like JIRA.
Your Profile
Essential skills:
Hands-on experience with Alteryx Designer and Dataiku DSS; relevant certifications are desirable.
• Strong proficiency in SQL and Python for data manipulation and analytics.
• Experience with RDBMS and data querying tools.
• Familiarity with cloud platforms (AWS, Azure, GCP) and related data services.
• Troubleshooting and solution design for technical incidents.
• DevOps experience with GitLab CI/CD and PowerShell scripting.
• Effective communication with IT stakeholders and business partners.
• Development support for data science engineering and production teams.
• Design and implementation of data science platforms (Alteryx, Dataiku, Azure ML).
• Compliance with operational, risk, and change management guidelines.
• Strong analytical, reasoning, and communication skills.
Desirable skills:
• Experience with big data frameworks (e.g., PySpark).
• Domain knowledge in industries such as Insurance.
• Familiarity with BI tools (Qlik, Power BI).
How to Apply
Apply by submitting your resume today, showcasing your relevant experience and passion for the position via LinkedIn Easy Apply or directly to james.a@dabster.net
