Data Engineer at Dare International Ltd

City of London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, SQL, Cloud Computing, AWS, Snowflake, Kubernetes, Terraform, Data Pipelines, Data Platforms, Analytics, Real-Time Data Systems, Data Warehousing, Trading Platforms, Financial Markets, Postgresql

Industry

Financial Services

Description

Who we are We are an energy trading company generating liquidity across global commodities markets. We combine deep trading expertise with proprietary technology and the power of data science to be the best-in-class. Our understanding of volatile, data-intensive markets is a key part of our edge. At Dare, you will be joining a team of ambitious individuals who challenge themselves and each other. We have a culture of empowering exceptional people to become the best version of themselves. The Role The Data Engineer role is a unique opportunity to help build a world-class trading platform. You’ll be responsible for delivering products for our internal customers, designing, implementing, and maintaining complex data pipelines and infrastructure that will give our traders a competitive edge. The Data Engineer will be required to build relationships and collaborate with key stakeholders. Responsibilities include: Architect and implement efficient data pipelines that enable our Quants, ML, Analytics and Operations teams to quickly build solutions without having to spend considerable time wrangling with data. Evaluate new technologies and tools, and contribute to the continuous improvement of our data ecosystem. Support the design and development of a scalable, modular, and maintainable Data Platform, using our key technologies, NATs, Snowflake, Prefect, running on Kubernetes in our AWS cloud environments. Assist with building our Data Platform and solve complex data problems to deliver insights, helping to build our trading data platform. What You’ll Bring Proven experience as a Data Engineer/Data Scientist, with a strong portfolio of building real-time data systems using modern approaches. Extensive experience with Python, including open-source data libraries and frameworks such as Pandas and messaging systems, along with proficiency in building out modern data warehouses. Proficient with SQL. Good understanding of cloud-based warehouses (e.g. Snowflake, BigQuery). Experience with AWS, including S3, IAM, RDS, and Kubernetes and Terraform. Experience working with Analytics teams that provide in-depth analytics reporting capabilities across the business. Desirable Understanding of trading platforms / financial markets. Working with third-party data providers and ingesting real-time trading data feeds. Knowledge of Postgresql. Benefits & perks Vitality health insurance and dental cover 38 days of holiday (including bank holidays) Pension scheme Annual Bluecrest health checks A personal learning & development budget of £5000 Free gym membership Specsavers vouchers Enhanced family leave Cycle to Work scheme Credited Deliveroo dinner account Office massage therapy Freshly served office breakfast twice a week Fully stocked fridge and pantry Social events and a games room Diversity matters We believe in a workplace where our people can fulfil their potential, whatever their background or whomever they are. We celebrate the breadth of experience and see this as critical to problem-solving and to Dare thriving as a business. Our culture rewards curiosity and drive, so the best ideas triumph and everyone here can make an impact. Please let us know ahead of the interview and testing processes if you require any reasonable adjustments or assistance during the application process. We’re also proud to be certified a ‘Great Place to Work’. Read more about our culture and what our team says about us here.

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Responsibilities

The Data Engineer will be responsible for delivering products for internal customers and designing, implementing, and maintaining complex data pipelines and infrastructure. This role involves building relationships and collaborating with key stakeholders to support trading operations.