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- Tasks: Join our Digital Transformation team to build an industry-leading shipping data platform.
- Company: Clarksons, a leader in maritime services with a focus on innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights for the maritime industry.
- Qualifications: 1+ years in Data Engineering, experience with SQL, Python, and data modelling.
- Other info: Collaborative environment with a focus on innovation and career development.
The predicted salary is between 36000 - 60000 £ per year.
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. Dedicated to excellence, it’s our people that drive success for our clients.
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. 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.
- Build 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
- 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
- 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.
- 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.
Data Engineer employer: Clarksons
Contact Detail:
Clarksons Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Clarksons. A friendly message on LinkedIn can go a long way. Just be genuine and express your interest in their work.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can talk confidently about Databricks, SQL, and Python. We want you to shine when discussing how you can contribute to building that data platform!
✨Tip Number 3
Show off your problem-solving skills! Be ready to share examples of how you've tackled challenges in past projects. This is your chance to demonstrate your analytical abilities and how you can bring value to the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining the Clarksons team and being part of their digital transformation journey.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Databricks, SQL, and Python/PySpark, as well as any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our digital transformation at Clarksons. Be sure to mention your problem-solving skills and ability to collaborate with diverse teams.
Showcase Your Projects: If you've worked on any cool data projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to deliver complex data flows and innovative solutions. We love seeing real examples of your skills in action.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect directly with us!
How to prepare for a job interview at Clarksons
✨Know Your Data Engineering Stuff
Make sure you brush up on your knowledge of Databricks, SQL, and Python/PySpark. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Show Off Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data flows or built data products from scratch. Think about the steps you took, the tools you used, and the impact your solutions had on the business.
✨Build Rapport with Your Interviewers
Since relationship building is key for this role, practice your interpersonal skills. Be friendly, engage in conversation, and show genuine interest in the team and their work. This will help you stand out as a collaborative candidate.
✨Demonstrate Your Adaptability
Clarksons values resilience and adaptability, so be prepared to discuss times when you've had to pivot or adjust your approach in a project. Highlight your ability to learn quickly and embrace new ideas, especially in a fast-paced environment.
