Retelligence

Job Title: Senior Software Engineer Reporting to: Lead Engineer Role Purpose: As a Senior Software Engineer, you will enhance and support both new and existing products within the Software Engineering group. In addition to contributing to feature development, you will play a role in shaping the technology and process strategies, and occasionally lead innovation or software design initiatives. Key Responsibilities: Develop new features with a strong focus on high-quality code. Conduct peer code reviews to ensure quality and adherence to best practices. Participate in daily stand-ups, change analysis sessions, and technical presentations. Provide guidance on tool and environment adoption where necessary. Continuously develop knowledge of the business domain and gain a deeper understanding of the organization's objectives. Work closely with tech leads, engineers, testers, and other personnel to deliver high-quality products. Take ownership of initiatives related to innovation or addressing technical debt. Design, document, and communicate system solutions with a balanced focus on time, quality, cost, and performance. Collaborate with colleagues across the organization to gain buy-in and feedback on proposals and designs. Required Knowledge & Experience: Essential: Strong proficiency in C# at a commercial level. Solid experience with .NET Core and related open-source technologies. Knowledge of Object Orientation, SOA, and relevant design patterns. Experience with modern software development practices, including agile methodologies , version control, code reviews, and continuous integration. Understanding of concurrency, asynchrony, and parallelism. Experience with Test Driven Development (TDD), unit testing frameworks, mocking frameworks, and patterns for testability. Proficiency in relational database concepts, Microsoft SQL Server , and SQL . Familiarity with front-end technologies such as HTML , CSS , and JavaScript . Experience in Web API design and implementation. Desirable: Commercial experience with Typescript . Experience with containerization (e.g., Docker ) and container orchestration (e.g., Kubernetes ). Experience in SPAs and responsive web development, particularly with Angular . Familiarity with enterprise messaging systems (e.g., NServiceBus , Azure Service Bus )

Lead Data Engineer Salary/Rate : £100,000 - £120,000 per annum + Bonus Location : North London Company : Retelligence About Retelligence Retelligence is partnering with a high-growth, forward-thinking organization that specializes in digital innovation and marketing across international markets. The company is on an exciting journey, rapidly scaling its capabilities and leveraging advanced technology to deliver cutting-edge solutions. Join a dynamic team within a business that values innovation, supports professional development, and offers exceptional career progression. The Role Retelligence is seeking a Lead Data Engineer to take a hands-on role in designing and delivering robust, real-time data pipelines and infrastructure in a Google Cloud Platform (GCP) environment. The company is particularly interested in candidates with strong expertise in SQL. As the Lead Data Engineer, you ll play a critical role in shaping their data architecture and driving transformation. You ll partner closely with engineering, product, and analytics teams to ensure efficient, high-performance data systems that enable the business to thrive in a fast-paced environment. Key Responsibilities: Design, develop, and maintain scalable, data pipelines and infrastructure in a GCP environment. Integrate multiple data sources to ensure seamless data flow across the organization. Build and optimize data models for querying and analytics use cases. Develop fault-tolerant, highly available data ingestion and processing pipelines. Continuously monitor and improve pipeline performance for low-latency and high-throughput operations. Ensure data quality, integrity, and security across all systems. Implement effective monitoring, logging, and alerting mechanisms. Collaborate with product, engineering, and analytics teams to deliver tailored solutions that meet business needs. About You Strong hands-on experience in data engineering with expertise in Python. Proven track record of building and managing data pipelines. In-depth experience with Google Cloud Platform (GCP) and its associated tools for data ingestion and processing. Familiarity with distributed streaming platforms such as Kafka or similar technologies. Advanced knowledge of SQL. Experience with data orchestration tools. Ability to optimize and refactor data pipelines for improved performance and scalability. Strong problem-solving skills and the ability to thrive in a collaborative, fast-paced environment.