Company Overview Offering a complete ecosystem of maritime services, including broking, finance, port services and research, Clarksons is at the heart of global shipping. Our unrivalled reach, expertise, and depth of experience, combined with leading research, enables us to partner with clients across every sector to meet the demands of the world’s rapidly evolving maritime, offshore, trade and energy markets. Building on our unique heritage and harnessing our insights to see further, faster, we work with our clients and communities to create strategies that have a positive impact on the industry and the world around us. Dedicated to excellence, it’s our people that drive success for our clients. To understand more including day-to-day life at Clarksons, visit us at www.clarksons.com Role Summary As part of the Digital Transformation team, you will be helping us build the best shipping data platform and reporting, enabling us to provide accurate and timely insights to the business and our clients. We’ve been building out a central data platform for the last year and have proved its worth. We are now looking for an individual to help scale the platform and accelerate its roll out across the business. What you’ll be doing Work with data engineers & analysts to problem solve, build & deliver data products from ideation to production. Lead and own the full lifecycle of data engineering deliverables. Deliver complex data flows to process external data sources to provide the company with a competitive edge. Act as a consultant to the business to meet their needs. Maintain existing data products to ensure reliability and high data quality to maximise the utility of data within the business. Innovate by recommending opportunities to improve data engineering tooling, frameworks & process. Mentor and provide guidance to more junior colleagues. Lead workshops to knowledge share and upskill colleagues in both technical and business domains. Building cutting edge solutions to serve data to the business and its applications quicker and in an automated fashion. What we’re looking for We invite applications from candidates who can demonstrate: Drive and self-motivation, with the desire and commitment to succeed, deliver excellence and make positive change; Relationship building, with excellent interpersonal skills and the ability to quickly build rapport; Collaboration, able to work well with others across diverse backgrounds to share information, develop skills, and deliver results; Resilience with the ability to persist and adapt; Smart problem-solving and analytical abilities, with a curious and inquisitive mind, and an openness to new ideas; Professional integrity and a respect for company values. Other requirements Essential Proven experience working in Data Engineering. Proven experience with SQL, SSIS and SSAS. Proven experience with data modelling. Ability to create a strong relationship with stakeholders. Excellent communication skills with the ability to collaborate effectively with cross-functional teams. Self-starter with strong problem-solving skills and attention to detail. Ability to work to tight delivery timescales and to take on new information working with a team based in multiple locations. Proven experience with understanding business requirements and translating these into technical deliverables. Motivated to expand technical skills. Desirable Experience with Microsoft BI Tools such as Power BI, SSRS & SQL Server. Experience with Azure Data Factory and Databricks (Python). Experience working with DevOps, IaC & CI/CD pipelines (e.g. Terraform and Databricks Asset Bundles).