Senior Data Engineer

Mercuria
London
3 weeks ago
Applications closed

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Mercuria is a global leader in Physical and Financial Commodity markets. We operate across major trading centres including London, Geneva, Houston, Singapore, Shanghai, and Beijing. Our diversified technology team is spread across key hubs and strategic co-development centres. We focus on delivering multi-asset-class commodity systems with an emphasis on automation, optimization, and innovation.

Role Overview

This is a great opportunity to join the front office technology team as a Senior Data Engineer.

This role will be based in either Geneva or London and the candidate will be expected to work onsite in the office.

This role offers a unique opportunity for an experienced data engineer to leverage their strong software development and data engineering principles. You will help define and enforce our strategic data strategy across the organisation; in order to do this, you will be working closely with multiple development teams across the organisation to understand their pain points and propose robust solutions.

As a senior engineer in the team, you will be conducting multiple proof of concepts using different technical solutions to help us choose the right products we need for different parts of our data landscape.

Key Responsibilities

  1. Design and enforce a robust and scalable enterprise data architecture.
  2. Review and optimise data models and data warehousing systems.
  3. Design, implement, and maintain efficient ETL pipelines for data ingestion and transformation.
  4. Collaborate with business users to help them identify and utilise available data.
  5. Propose the correct tooling to manage data strategically.
  6. Drive innovation by identifying opportunities for optimisation and automation.
  7. Provide technical mentorship and guidance to junior developers and engineers.

Desirable Technical Expertise

  1. Extensive experience with object-oriented programming and software development lifecycle.
  2. Strong expertise in data engineering, including data warehousing, ETL processes, and database design.
  3. Proficient in SQL and experience with various database technologies.
  4. Knowledge of Java and Python, with the ability to leverage both in building scalable solutions.
  5. Experience with cloud platforms like AWS or Azure, particularly in data-related services.
  6. Familiarity with DevOps practices and tools, including CI/CD pipelines.
  7. Background in the commodities or financial services industry is highly advantageous.
  8. Experience with big data technologies and distributed systems is a plus.

Non-Technical Skills

  1. Leadership and collaboration skills, effective with cross-functional teams.
  2. Strong analytical and problem-solving abilities.
  3. Drive for innovation and continuous improvement.
  4. Excellent communication skills for conveying technical concepts to non-technical stakeholders.
  5. Self-motivated with a proactive approach to learning and development.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Finance

Industries

Oil and Gas

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