As a Data Scientist, you will be central in shaping B2B data-driven marketing and personalization strategy, building robust models that inform customer engagement, lifecycle marketing, and product strategy. You will design, implement, and optimize customer segmentation models, working cross-functionally with marketing, product, and engineering teams to build and scale buying group frameworks that enhance personalization, targeting, and campaign performance.
Job listings
$156,000â$187,000
USD/year
Design, build, and maintain robust data pipelines that integrate sources across the business. Collaborate closely with analysts, business stakeholders, and other engineering teams to gather requirements, align timelines, discuss architecture, and ensure successful delivery. Document data pipelines, best practices, and processes to support onboarding and knowledge sharing within the team. Develop and optimize data models to deliver trusted, structured, and business-ready data.
We are seeking a highly skilled Lead Data Engineer with strong expertise in PySpark, SQL, and Python, Azure Data Factory, Synapse, Databricks and Fabric, as well as a solid understanding of ETL and data warehousing end to end principles. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines in a collaborative and fast-paced environment.
Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments. Analyse and interpret large volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits. Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives.
This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. Bluelight values continuous learning, personal growth, and hard work.