DATA ENGINEER - Dubai, UAE

Cobblestone Energy; Dubai; On-site; AED 293,000 - 441,000; Full time

Job summary

A leading energy trading company in Dubai is seeking a Data Engineer to build and operate data pipelines for trading activities. This role involves working with traders and developers to ensure data quality and performance in a fast-paced environment. Candidates should have strong Python and SQL skills, as well as experience with data quality assurance and monitoring tools. This position offers a competitive salary, performance-based bonuses, and relocation support.

Benefits

Competitive remuneration

Performance-based bonus

Employee share scheme participation

International relocation support

Qualifications

• 3+ years of professional Python experience.
• 2+ years in a Data Engineering role.
• Strong experience with time series datasets.

Responsibilities

• Design and operate real-time and batch data pipelines.
• Build low latency streaming systems for high volume data.
• Ensure data quality and monitoring across production systems.

Skills

Python programming

Data quality assurance

SQL proficiency

Monitoring and observability tools

Education

Bachelor’s degree in computer science or related field

Tools

PostgreSQL

Docker

CI/CD pipelines

Job description

Location: Dubai, UAE (Visa sponsorship and relocation assistance provided)

Annual Base Salary range of $80k to $120k per annum (DOE) + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2017, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone Values

• Lifelong learning with continuous reflection
• Independent thinking through a meritocracy of ideas
• The team is more important than the individual.
• Relentless pursuit of excellence
• Hiring and keeping only the most effective people
• Others must benefit from our existence.

The Role

We are hiring a Data Engineer to build and operate the data infrastructure that directly supports our trading activities.

This role sits close to the commercial edge. You will own production grade data pipelines handling real time and batch market data, working directly with traders, developers and data scientists to ensure reliability, performance and data quality suitable for live trading decisions.

What we offer in this role

• Competitive remuneration, with fast progression for strong performers.
• A challenging but exciting, open, and fun work environment.
• An opportunity to work with remarkably talented colleagues.
• Vast growth potential in every aspect.
• Performance based bonus.
• Employee share scheme participation
• International relocation support
• Opportunity to be embedded within a commercial team for those with strong commercial interest

Responsibilities

• Design and operate real time and batch data pipelines for market and trading data
• Build low latency streaming systems for high volume time series data
• Develop and maintain core components of the data platform from ingestion to analytics
• Ensure data quality, monitoring, and observability across production systems
• Work closely with traders to translate commercial requirements into technical solutions
• Take ownership of production systems, incidents, and long term improvements

Requirements

• Bachelor’s degree in computer science, engineering, mathematics, or related field
• 3 plus years of professional Python experience
• 2 plus years in a Data Engineering role
• Strong experience working with time series data and market style datasets
• Monitoring & Observability: experience instrumenting pipelines/services with logging, metrics, and alerting (e.g., Prometheus/Grafana, Datadog, ELK/EFK, CloudWatch) and operating on-call/incident workflows
• Strong grounding in data quality and validation (e.g., schema enforcement, automated checks/tests such as Great Expectations or equivalent)
• Solid SQL and data modelling skills (e.g., dimensional modelling, performance tuning, indexing)
• Proficiency in PostgreSQL or MySQL and familiarity with NoSQL databases
• Experience with Docker and CI CD pipelines
• Comfortable operating in a fast paced, commercially critical environment

Nice to Have

• Experience supporting power, gas, or commodity trading environments
• Cloud experience on AWS or Azure
• Exposure to Airflow, Dagster and dbt
• Experience with real time streaming platforms such as Kafka or Kinesis
• Proficiency in NoSQL databases, with a solid understanding of their design principles, trade offs, and application within data heavy environments

Important Note

This role is advertised globally; however, the job location is as specified in the job description.