At a Glance
- Tasks: Lead a team to design and build data systems for complex datasets.
- Company: Eighteen Eight Data Solutions, a leader in innovative data solutions.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Other info: Join a diverse team passionate about data and technology.
- Why this job: Shape the future of data engineering and drive impactful projects.
- Qualifications: 4+ years in data engineering, proficient in Python and SQL.
The predicted salary is between 63000 - 77000 £ per year.
Eighteen Eight Data Solutions is a leading provider of innovative data solutions for global financial and commodities markets. We empower our clients with advanced tools for price discovery, liquidity management, and data distribution, helping them navigate complex markets with confidence. Our team is passionate about leveraging technology and expertise to deliver reliable, scalable, and impactful data products.
The Opportunity
We are seeking an experienced and driven Senior Data Engineer to join our team in London. You will design, build, and maintain robust systems and infrastructure for processing and analysing large-scale, complex datasets. This is a unique opportunity to shape the future of our data engineering capabilities and drive impactful projects from the ground up.
Key Responsibilities
- Team Leadership: Recruit, mentor, and lead a team of data engineers in several locations, fostering a collaborative and high-performance culture.
- Data Pipeline Development: Design and implement efficient batch and streaming data pipelines capable of handling large volumes of real-time and batch market data using tools such as Python, Apache Airflow, Apache Kafka, and Apache Flink.
- Data Warehousing: Build and maintain scalable, reliable data warehousing solutions using Snowflake.
- Cloud Infrastructure: Develop and manage robust cloud-based systems on AWS.
- CI/CD Automation: Enhance and automate development, testing, and deployment processes using tools such as GitLab.
- System Monitoring: Oversee the maintenance and monitoring of data applications, pipelines, and databases using tools like Prometheus, Grafana, and CloudWatch.
- Stakeholder Collaboration: Work closely with data scientists, analysts, product managers, and other stakeholders to understand requirements and deliver scalable solutions.
- Agile Participation: Engage in daily stand-ups and team meetings to coordinate development efforts and ensure project alignment.
- Product Development: Collaborate with stakeholders to design and build analytical products and services that drive business value.
About You
Essential Qualifications & Experience
- 4+ years of experience in data engineering or a similar role.
- Proficiency in Python (with frameworks such as Pandas, Dask, or PySpark) and SQL.
- Experience building and integrating REST APIs (e.g., FastAPI).
- Hands-on experience with AWS, Snowflake, Kubernetes, and Airflow.
- Familiarity with monitoring and alerting tools (Prometheus, Grafana, CloudWatch).
- Strong Linux and command line skills.
- Proven experience hiring, mentoring, and leading junior engineers.
- Solid understanding of ETL processes and event streaming technologies (Kafka, Flink, etc.).
- Excellent written and verbal communication skills, with the ability to interact effectively with both technical and business teams.
- Degree in Computer Science, Engineering, Mathematics, or a related technical field.
Desired Skills
- Prior experience working with financial market data.
- Knowledge of additional programming languages such as Java, C#, or C++.
Impact: Play a pivotal role in building a new team and shaping the future of our data engineering function.
Growth: Access opportunities for professional development and career progression in a dynamic, innovative environment.
Collaboration: Work alongside talented professionals who are passionate about data and technology.
Inclusivity: We are committed to fostering a diverse and inclusive workplace where everyone can thrive.
Senior Data Engineer employer: Eighteen Eight Data Solutions
Eighteen Eight Data Solutions is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive growth opportunities, including mentorship and leadership roles, while enjoying a supportive environment that values work-life balance and professional development. Join us to be part of a forward-thinking team that is at the forefront of data engineering, where your contributions will have a meaningful impact on our cutting-edge projects.
Contact Details:
Eighteen Eight Data Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
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We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
