Vice President, Lead Data Engineer

Castleton Commodities International
Heanor
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineering and Delivery Lead

Senior Data Engineer

Senior Data Engineer

Senior Machine Learning Engineer

Alpha Data Services, Performance Ready Data Analyst, EMEA Lead, Vice President

Alpha Data Services, Performance Ready Data Analyst, EMEA Lead, Vice President

Castleton Commodities International (CCI) is looking for a highly skilled Lead Data Engineer to take a pivotal, hands‑on role in shaping our enterprise finance data platform. This is a senior, technical position where you will be the primary architect and builder of our most critical data assets.


The ideal candidate is a technical expert with a passion for building scalable, high‑quality data solutions. You will own the design and implementation of data models in our modern data stack (Redshift, dbt Cloud, Atlan, Monte Monte Carlo) and act as the technical authority for the team, guiding and managing another Data Engineer to ensure technical excellence and successful project delivery.


Responsibilities

  • Design, develop, and maintain a scalable and performant analytical data layer within AWS Redshift.
  • Lead the development of robust, well‑tested, and documented data models using dbt Cloud, setting the standard for best practices in data engineering and code quality.
  • Act as the senior technical expert for enterprise finance data. Mentor a Data Engineer through expert guidance, collaborative problem‑solving, and rigorous code reviews to ensure high‑quality output and foster their technical growth.
  • Partner closely with the head of Finance Data and Analytics to translate complex business requirements into reliable, high‑impact data products.
  • Take ownership of the data platform's stability and governance. Ensure new data products are fully documented and tested for quality in the data pipeline models.
  • Stay current with modern data engineering trends and continuously identify opportunities to improve our platform, processes, and technical standards.

Qualifications

  • 8+ years of progressive, hands‑on data engineering experience, delivering scalable data solutions in production environments.
  • Expert‑level proficiency in SQL and data modeling, with a strong ability to design and optimize complex data structures.
  • Extensive, practical experience with dbt (Cloud or Core)—this is a core requirement for the role.
  • Deep experience working with modern cloud data warehouse technologies, such as Amazon Redshift or Snowflake.
  • Industry experience in financial services, energy, or commodity trading is strongly preferred.
  • Familiarity with data governance platforms (e.g., Atlan) and data observability tools (e.g., Monte Carlo).
  • Experience working within Agile/Scrum development frameworks.
  • Proven leadership in driving complex data initiatives, including managing and mentoring small engineering teams.
  • Exceptional communication and collaboration skills, with a track record of elevating team technical capabilities.
  • Demonstrated success partnering across technical and business teams to deliver data solutions aligned with organizational goals.
  • Must be able to work effectively in a fast‑paced, dynamic and high‑intensity environment including open‑floor plan if applicable to the position, with timely responsiveness and the ability to work beyond normal business hours when required.

Employee Programs & Benefits

CCI offers competitive benefits and programs to support our employees, their families and local communities. These include:



  • Competitive comprehensive medical, dental, retirement and life insurance benefits
  • Employee assistance & wellness programs
  • Parental and family leave policies
  • CCI in the Community: Each office has a Charity Committee and as a part of this program employees are allocated 2 days annually to volunteer at the selected charities.
  • Charitable contribution match program
  • Tuition assistance & reimbursement
  • Quarterly Innovation & Collaboration Awards
  • Employee discount program, including access to fitness facilities
  • Competitive paid time off
  • Continued learning opportunities

Visit https://www.cci.com/careers/life-at-cci/# to learn more!


#LI-CD1


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.