Data Engineer

Queen Square Recruitment; England; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Opportunity to collaborate with experienced data scientists

Drive solutions in a cloud-first, Agile environment

Job summary

A dynamic recruitment agency is seeking an experienced Data Engineer to design and maintain ETL pipelines and data workflows. The ideal candidate will have significant hands-on expertise in Alteryx and Dataiku, along with strong skills in Python and SQL. Responsibilities include migrating workflows and collaborating with Agile teams to deliver impactful data solutions in a cloud-first environment. If you have the necessary skills and are looking for a fulfilling role, we’d love to hear from you.

Qualifications

• 5+ years hands-on experience with Alteryx Designer and Dataiku DSS.
• Strong proficiency in SQL and Python for data manipulation.
• Experience in migrating workflows and optimizing data processes.

Responsibilities

• Develop and optimize automated data pipelines using Alteryx and Dataiku DSS.
• Migrate and convert workflows between platforms using Python.
• Implement data quality checks and governance processes.
• Collaborate with analytics teams, data scientists, and business stakeholders.

Skills

Alteryx

Dataiku DSS

Python

SQL

big data frameworks

Tools

AWS

Azure

GitLab CI/CD

JIRA

PowerShell scripting

Power BI

Qlik

Job description

Direct message the job poster from Queen Square Recruitment

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.
• 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.
• Experience with big data frameworks (e.g., PySpark).
• Domain knowledge in industries such as Insurance.
• Familiarity with BI tools (Qlik, Power BI).

Why Join

• 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.