At a Glance
- Tasks: Design and optimise trading data platforms using Databricks for real-time analytics.
- Company: Leading firm in Energy & Commodities Trading with a hybrid work culture.
- Benefits: Competitive market rate, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Join a dynamic team and make impactful decisions in the energy trading sector.
- Qualifications: Experience in energy trading and expertise in Databricks and data architecture.
The predicted salary is between 63000 - 77000 £ per year.
- Role Title: Databricks Consultant
- Location: London, Hybrid
- Duration: Initial 3 months
- Rate: Market Related
- Engagement: Outside IR35
We are seeking a seasoned Databricks Consultant with deep expertise in Energy & Commodities Trading to design, accelerate, and optimize our trading data platform.
Acting as the bridge between trading desks, quants, and engineering teams, you will leverage the Databricks Lakehouse to deliver scalable, real-time pipelines powering trading decisions, risk management, and market analytics.
Key Responsibilities
Data Architecture: Build and optimize ETL/ELT pipelines using Databricks, Spark (Py Spark/Scala), and Delta Lake for structured/unstructured energy market data.
Trading Analytics: Partner with Quants, Risk Managers, and Traders to implement models, curve generation, position tracking, and risk metrics (e. g., Va R).
Performance Optimization: Tune clusters and SQL warehouses for low-latency, time-sensitive trading environments.
Data Governance: Enforce governance, access controls, and compliance with UK/EU financial and energy regulations via Unity Catalog.
Consultative Leadership: Provide architectural best practices, mentor engineers, and advise stakeholders on maximizing Databricks ROI.
- Required Skills & Experience
- Energy
- Trading
Expertise: Proven background in energy trading firms, banks, utilities, or oil/gas majors.
Strong knowledge of physical/financial markets (Power, Gas, LNG, Crude, Carbon/Renewables) and trading data types (Reuters, Bloomberg, Trayport, weather, ETRM).
- Databricks
Mastery: Hands-on experience with production workloads on Databricks (Azure/AWS), Py Spark, Spark SQL, Delta Lake, Unity Catalog, Python, SQL, orchestration tools (Airflow, Workflows, ADF), and streaming (Kafka/Event Hubs).
- Professional Skills: Strong consultative mindset, excellent communication, and ability to interface with traders and senior stakeholders.
- #J-18808-Ljbffr
Databricks Consultant in London employer: Trust In SODA
Trust In SODA is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within one of Europe's largest Kubernetes projects. Employees benefit from extensive growth opportunities, including AWS and CKA certification, while enjoying the flexibility of a hybrid working environment that promotes work-life balance and personal development.
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We think you need these skills to ace Databricks Consultant in London
Some tips for your application 🫡
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Trust In SODA, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Trust In SODA.
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You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Trust In SODA.
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Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Trust In SODA.
