Desia Limited: Backend Engineer (Data Platform)

Headquarters: London

URL:

Job Description

We are seeking a skilled and motivated Backend Engineer (Data Platform) to join our team and help build a robust data platform. Your responsibilities will include:

• Developing and enhancing data pipelines : Create and expand existing data processing pipelines for both structured and unstructured datasets (mainly Python and SQL).
• Integrating with third-party systems : Work with external tools and APIs (e.g., Microsoft GraphAPI, financial data providers) to enable seamless data flow between third-party systems and Desia.
• Monitoring and optimizing performance : Track the performance of the data platform, analyze logs, and recommend infrastructure improvements using tools like GCP, Sentry, and CloudSQL.
• Collaborating on data modeling : Design and implement efficient data structures for relational and non-relational systems to support scalable and reliable data processing.
• Ensuring system reliability : Contribute to the stability and scalability of the platform by addressing bottlenecks, optimizing queries, and ensuring smooth operation of containerized environments (e.g., Docker, Kubernetes).

Must-Have Skills:

• Strong Python expertise : Proven working experience in both scripting and object-oriented programming (OOP).
• Solid SQL skills : Experience with writing efficient queries and optimizing database performance.
• Data modeling : Hands-on experience designing and organizing data in both relational and non-relational formats.
• Communication skills : Excellent verbal and written communication in English.
• Adaptability : A quick learner who can bridge knowledge gaps to tackle new challenges effectively.
• Collaborative mindset : Open to sharing ideas, providing feedback, and contributing to discussions constructively.

Nice-to-Have Skills:

• Cloud experience : Familiarity with Google Cloud Platform (GCP).
• Containerization knowledge : Working familiarity with tools like Docker and Kubernetes.
• Database expertise : Experience with PostgreSQL.
• Scheduling : Working experience with task scheduling (e.g., cron, DAGs like Airflow).
• Python libraries : Knowledge of libraries such as asyncio, pydantic, fastapi, and psycopg.
• Search technologies : Familiarity with ElasticSearch or OpenSearch.
• System design : Experience with RESTful APIs and queue-based systems.

Qualifications

• Holding a Master’s degree in Computer Science or a related field or possessing similar practical experience.
• A minimum of 3 years professional experience in Data Platform Engineering or Backend roles.

Compensation and Benefits

• Salary depending on experience and skills (£40000 – £65000).
• Performance bonuses.
• Stock options and retirement plan.

To apply:

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