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Data is at the core of the company’s decision‑making and commercial success. Our mission is to ensure that Awin leverages the full value of its data assets to drive strategic insight, optimise campaign performance, and empower client‑facing teams with best‑in‑class intelligence. As a Senior BI Developer, you will play a key role in shaping the company’s data strategy, designing scalable data solutions, and providing technical leadership across the BI function. You will be accountable for architecting high‑quality reporting and data extraction frameworks, supporting advanced analytics initiatives, and enabling stakeholders to make informed, data‑driven decisions.
Job Responsibility:
Leads the design, development, optimisation, and governance of reporting assets (inclusive of data visualisations, Custom Data Extracts, and embedded dashboards)
Work with stakeholders across Product, Commercial, and Customer-facing teams to shape and evolve Awin's reporting and analytics offering
Translates complex business requirements into scalable, performant data solutions by designing advanced extraction logic and transformation workflows in Databricks
Supports the design and governance of Awin’s semantic layer by defining consistent metrics, hierarchies, and business logic
Actively integrates AI and LLM tooling into the BI workflow
Owns and evolves data standards, ensuring consistency in documentation, data definitions, lineage, and delivery processes
Collaborate closely with Data Engineers, Data Product Owners, and platform teams to design and deliver scalable, reliable data products
Acts as the escalation point for complex data issues, providing expert troubleshooting, performance tuning, and architectural recommendations
Delivers and oversees ad‑hoc data support across the organisation
Provides mentorship, guidance, and code review support for junior BI Developers and mid-level BI Developers
Champions agile methodologies
Influences and contributes to BI strategy
Builds strong relationships with stakeholders, advising on data‑driven strategies
Requirements:
6+ years’ experience in Business Intelligence, Data Engineering, Business Analysis, or a similar analytical/technical field
Demonstrated experience delivering complex BI or data engineering projects and working with large‑scale datasets
Expert knowledge of SQL, including query optimisation, stored procedures, and data modelling techniques
Strong experience with Python, particularly for data processing, automation, and ETL workflows
Strong, hands-on Databricks experience, including Delta Lake architecture, Unity Catalog for data governance, Databricks SQL warehouses, and notebook-based pipeline development
Solid understanding of data warehousing concepts, dimensional modelling, and database architecture
Demonstrable experience designing or contributing to a semantic layer and being able to articulate the business case for one
Practical experience using AI coding and analytics tools (e.g., GitHub Copilot, Claude, ChatGPT, Databricks AI/BI Assistant) within a data or engineering workflow
Can demonstrate critical evaluation of AI output, knowing when to trust it, when to correct it, and when not to use it
Fluent English
Nice to have:
Experience with modern BI and visualisation tools (e.g., Tableau, Power BI, Luzmo Reporting Services) is highly desirable
Hands-on experience with an embedded analytics platform (Luzmo , Sigma,etc) is desirable
Industry experience in online/media, technology, or fast‑paced digital environments is advantageous
Knowledge of affiliate marketing is beneficial
additional languages are a plus
What we offer:
Flexi-Week and Work-Life Balance: flexible four-day Flexi-Week at full pay
Remote Working Allowance: monthly allowance to cover part of your running costs
Flexi-Office: international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities
Meal Vouchers: supported with a certain net sum to spend it on a variety of lunches
Health & Wellbeing: insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member
Remote Working Furniture Package: eligible for a furniture package after 3 months of employment
Appreciation: peer-to-peer program to thank and reward colleagues