At a Glance
- Tasks: Build and maintain data pipelines for a world-class trading platform.
- Company: Join an innovative energy trading company with a dynamic culture.
- Benefits: 38 days holiday, health insurance, gym membership, and a £5000 learning budget.
- Why this job: Make a real impact in the fast-paced world of trading and data science.
- Qualifications: Experience in data engineering, Python, SQL, and cloud technologies.
- Other info: Collaborative environment with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
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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Data Engineer Tech - Development · London employer: Dare
Contact Detail:
Dare Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Tech - Development · London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at a company you admire. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving data pipelines or cloud technologies. This will give potential employers a taste of what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding the tools mentioned in the job description. Practice common data engineering problems and be ready to discuss your thought process during the interview.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It shows you're genuinely interested and gives us a chance to see your application in the best light. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Engineer Tech - Development · London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with data pipelines and the technologies mentioned in the job description. We want to see how you've used Python, SQL, and cloud services like AWS in your previous roles.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect how your skills and experiences align with our needs at Dare. We love seeing candidates who take the time to connect their background to the role.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the Data Engineer role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Dare
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and AWS. Brush up on your knowledge of data pipelines and cloud-based warehouses, as these will likely come up during technical questions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built real-time data systems or worked with analytics teams. Highlight your problem-solving skills and how your contributions made a difference. Having a portfolio ready can really impress!
✨Understand the Business
Familiarise yourself with the energy trading sector and how data plays a role in it. Being able to discuss how your work as a Data Engineer can impact trading decisions will show that you’re not just technically skilled but also business-savvy.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data ecosystem and future projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially their focus on empowerment and collaboration.