Data Engineer

Data Engineer

Posted Today by Dabster

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Negotiable
Undetermined
Undetermined
Surrey, England, United Kingdom
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Agile Methodology Alteryx Amazon Web Services (AWS) Big Data BigQuery Business Intelligence Tools Change Management Cloud Computing Cloud Technologies Cloud Technology Continuous Integration and Continuous Delivery Data Integration Data Lakes Data Manipulation Data Quality Data Science Digital Transformation Extract Transform Load (ETL) General Insurance Gitlab Google Cloud Platform (GCP) JIRA Machine Learning Management Microsoft Azure Power BI Pyspark Python (Programming Language) Scripting Snowflake (Data Warehouse) Solution Design SQL (Programming Language) Stakeholder Management Windows PowerShell Workflows

Summary: The Data Engineer role at Dabster involves designing, developing, and maintaining ETL pipelines and data workflows using Alteryx and Dataiku. The position requires collaboration within Agile teams and expertise in SQL, Python, and cloud technologies such as Azure and AWS. The successful candidate will migrate existing workflows and ensure data quality and governance. This role is integral to supporting analytics teams and managing cloud-native data systems.

Key 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.

Key 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.

Salary (Rate): undetermined

City: Surrey

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

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

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