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- Tasks: Join us to build a world-class trading platform and design complex data pipelines.
- Company: We're an energy trading company leveraging technology and data science for market success.
- Benefits: Enjoy competitive salary, health insurance, 38 days holiday, gym membership, and more perks!
- Why this job: Be part of a dynamic team that values growth, collaboration, and innovation in data engineering.
- Qualifications: Proven experience as a Senior Data Engineer with strong skills in Python, SQL, and cloud technologies.
- Other info: We celebrate diversity and encourage applicants from all backgrounds to apply.
The predicted salary is between 43200 - 72000 £ per year.
City of London
Permanent, Full-time – Onsite
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.
What you’ll be doing:
The Senior 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 Senior 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 Operation teams to quickly build solutions without having to spend considerable time wrangling with data.
- Drive technical decisions, evaluate new technologies and tools, and contribute to the continuous improvement of our data ecosystem.
- Lead 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.
- Build our Data Platform and solve complex data problems to deliver insights helping to build our trading data platform.
- Foster a culture of sharing, mentor junior engineers, provide guidance, and drive excellence.
- Convert data engineering and architecture best practices in the Data and Engineering teams, building a data culture based on the highest quality and reliability standards.
You’ll have:
- Proven experience as a Senior Data Engineer, 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.
- Extensive experience of working with Analytics teams that provide in-depth analytics reporting capabilities across the business.
Ideal Behaviours:
- Strong communication and stakeholder management.
- Enthusiastic about helping juniors develop and grow.
- Strong problem-solving skills and attention to detail.
- The ability to thrive in this role which demands technical and data-driven results.
Desirable:
- Understanding of trading platforms / financial markets.
- Experience with backend technologies (e.g. Go, C#).
- Experience with Prefect to allow you to design, test and run your data pipelines with Python.
- Knowledge of Postgresql.
- Working with third-party data providers and ingesting real-time trading data feeds.
Benefits & perks:
- Competitive salary
- 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.
Contact Detail:
eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - eFinancialCareers
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Snowflake, AWS, and Kubernetes. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of the company on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
✨Tip Number 3
Prepare to discuss your problem-solving approach in detail. Given the emphasis on complex data problems in the role, be ready to share specific examples of challenges you've faced and how you overcame them using data engineering techniques.
✨Tip Number 4
Showcase your enthusiasm for mentoring and developing junior engineers. Since the role involves fostering a culture of sharing, highlighting your past experiences in mentoring can demonstrate your alignment with the company's values.
We think you need these skills to ace Senior Data Engineer - eFinancialCareers
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Senior Data Engineer. Focus on your skills in building real-time data systems, proficiency in Python and SQL, and any experience with cloud-based warehouses like Snowflake or BigQuery.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the energy trading sector. Mention specific projects where you've implemented data pipelines or collaborated with analytics teams to demonstrate your fit for the role.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially those mentioned in the job description such as AWS, Kubernetes, and Terraform. Provide examples of how you've used these technologies in past roles to solve complex data problems.
Highlight Soft Skills: Don't forget to mention your communication and stakeholder management skills. The role requires collaboration with various teams, so providing examples of how you've successfully worked with others will strengthen your application.
How to prepare for a job interview at eFinancialCareers
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and cloud technologies like AWS. Bring examples of past projects where you've built data pipelines or worked with data warehouses, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Culture
Familiarise yourself with the company's values and culture, especially their emphasis on collaboration and mentoring. Be ready to discuss how you can contribute to fostering a supportive environment for junior engineers.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills. Practice explaining your thought process clearly and logically when tackling complex data challenges, as this will showcase your analytical abilities.
✨Engage with Stakeholders
Since the role involves collaboration with various teams, be prepared to discuss how you’ve successfully managed stakeholder relationships in the past. Highlight your communication skills and ability to translate technical concepts to non-technical audiences.
