Data Engineer

Clarksons
City of London
4 months ago
Applications closed

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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 an industry leading shipping data platform and reporting solution, enabling us to provide innovative, accurate and timely insights to the business and our clients. We’ve been building out, and embedding into the business, a central data platform over the last two years. Our platform has been recognized by the business to be delivering great value. You will support and encourage the transformation of Clarksons into a data led business with true data democracy. We are now looking for an individual to help as we 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.
  • Plan and deliver multi-stage projects.
  • 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 & processes.
  • Building cutting-edge solutions to serve data to the business and its applications quicker and in an automated fashion.
  • Take innovative analyst POCs and turn them into reliable data pipelines and solutions, following rigorous engineering best practices.


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 respect for company values.


Other requirements

Essential

  • Minimum 1+ years of experience working in Data Engineering.
  • Proven experience with Databricks, SQL and python/pyspark.
  • Experience working with DevOps or equivalent (git branching etc.)
  • Proven experience working with custom metadata-driven frameworks.
  • 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.
  • Experience with Azure Data Factory.
  • Experience with IaC & CI/CD pipelines (e.g. Terraform and Databricks Asset Bundles).
  • Experience working with an AGILE team planning/delivery approach.

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