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For Companies At a Glance
- Tasks: Join our Digital Transformation team to build and scale a cutting-edge shipping data platform.
- Company: Clarksons is a leading maritime services provider, driving innovation in global shipping.
- Benefits: Enjoy a dynamic work environment with opportunities for mentorship and professional growth.
- Why this job: Be part of a team that impacts the maritime industry while developing your technical skills.
- Qualifications: Experience in Data Engineering, SQL, and data modelling is essential; collaboration skills are a must.
- Other info: Opportunity to work with advanced tools like Azure Data Factory and Power BI.
The predicted salary is between 43200 - 72000 £ per year.
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.
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).
Data Engineer (City of London) employer: Clarksons
Contact Detail:
Clarksons Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (City of London)
✨Tip Number 1
Familiarise yourself with Clarksons' business model and the maritime industry. Understanding their services and how data plays a role in their operations will help you articulate your value during discussions.
✨Tip Number 2
Network with current employees or professionals in the maritime sector. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Brush up on your technical skills, especially SQL, SSIS, and SSAS. Being able to demonstrate your proficiency in these areas through practical examples or projects can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your problem-solving approach and past experiences in data engineering. Be ready to share specific examples of how you've tackled challenges and delivered results, as this aligns with what Clarksons is looking for.
We think you need these skills to ace Data Engineer (City of London)
Some tips for your application 🫡
Understand the Role: Read through the job description carefully to understand the key responsibilities and requirements. Tailor your application to highlight how your skills and experiences align with what Clarksons is looking for in a Data Engineer.
Highlight Relevant Experience: Make sure to emphasise your proven experience in Data Engineering, particularly with SQL, SSIS, and SSAS. Use specific examples from your past work to demonstrate your capabilities and achievements in these areas.
Showcase Soft Skills: Clarksons values interpersonal skills and collaboration. Include examples that showcase your ability to build relationships, work in teams, and communicate effectively across diverse backgrounds.
Tailor Your CV and Cover Letter: Customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. Use keywords from the listing to ensure your application stands out and aligns with the company's needs.
How to prepare for a job interview at Clarksons
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, SSIS, and SSAS during the interview. Be prepared to discuss specific projects where you've successfully implemented data engineering solutions, as this will demonstrate your technical expertise.
✨Demonstrate Problem-Solving Abilities
Clarksons values smart problem-solving skills. Prepare examples of challenges you've faced in previous roles and how you approached them. This will show your analytical abilities and your capacity to adapt to new situations.
✨Build Rapport with Interviewers
Relationship building is key for this role. Practice your interpersonal skills by engaging with the interviewers, asking questions, and showing genuine interest in their work. This will help you establish a connection and demonstrate your collaborative nature.
✨Prepare for Technical Questions
Expect technical questions related to data modelling and data flows. Brush up on your knowledge of Microsoft BI Tools and Azure Data Factory, as these are desirable skills. Being well-prepared will help you answer confidently and showcase your readiness for the role.
