Python Data Engineer & Data Scientist

Job Description

About the Company

Our client is striving to become the top provider of data-driven marketing and analytics in the Sports Betting and iGaming sectors. They leverage deep industry knowledge, proprietary technology, and expert media execution to deliver impactful results. Specialising in cutting-edge acquisition and retention strategies across Meta, Programmatic, PPC, and alternative traffic channels, they excel in regulated, grey, and blackhat advertising methods, particularly for crypto casinos and sportsbooks.

What We Are Recruiting For

We are seeking a Python Data Engineer & Data Scientist to drive data strategy in digital advertising and marketing. This role blends Software Engineering, Data Engineering, Data Visualisation, and Data Science, ensuring seamless data integration.

You will develop and maintain data pipelines, API integrations, and processing systems, with a future focus on AI and machine learning (ML). Experience in the gambling industry is preferred, along with a proactive, business-focused mindset. Collaborating with marketing teams and BI specialists, you will deliver insights to optimise decision-making and support AI-driven solutions.

What You Will Be Doing:

1. Data Pipeline Development & Maintenance: Design and optimise ETL/ELT processes, ensuring reliable and scalable data pipelines. Integrate campaign metrics like budgets, CTRs, CPAs, and ROI.
2. API Integration: Build and maintain API connections for platforms like Facebook Ads, Google Ads, and TikTok. Integrate data with BI tools such as Looker Studio, Tableau, and Power BI.
3. AI/ML Exploration & Implementation: Research and prototype AI/ML models for campaign optimisation. Explore tools like GPT and LangChain for automation and insights.
4. System Integration & Automation: Develop automated workflows and trigger actions in advertising systems based on data insights.
5. Collaboration & Best Practices: Work with cross-functional teams, implement software engineering best practices, and ensure data privacy and security compliance.

What You Will Bring To The Party:

1. Technical Expertise: Proficiency in Python, data processing libraries (Pandas, NumPy), and ETL/ELT pipeline architecture. Strong API integration experience and knowledge of digital marketing metrics.
2. Data & Analytics Skills: Familiarity with BI tools like Looker Studio, Tableau, and Power BI. Understanding of GCP services, data orchestration tools (Apache Beam, Airflow, Prefect), and AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn).
3. AI & Automation: Interest or experience in LLMs (LangChain, GPT) and AI-driven marketing automation. Ability to build and maintain AI/ML pipelines.
4. Software Best Practices: Experience with version control (Git), CI/CD, testing, and documentation. Understanding of AI/ML deployment and monitoring.
5. Soft Skills: Strong problem-solving abilities, a proactive mindset, and excellent communication skills. Ability to collaborate with non-technical teams and work independently in a fast-paced environment.

What You Will Get In Return:

1. 25 days paid holiday per annum
2. Enrollment into pension scheme
3. Discretionary bonus
4. Hybrid working (3 days in the office)
5. Home office equipment
6. Learning and development budget
7. Regular team socials
8. Potential enrollment into EMI Scheme for employee share options