3 of 3 Data Engineering Jobs in Watford

career with us and be part of something extraordinary. Why we need you At 15M, we lead in the i-gaming industry by transforming data into a competitive edge. As a Senior Data Engineer, you'll design and maintain ETL pipelines integrating data from sources like Facebook … Google Analytics, and payment providers. Using tools like AWS Redshift, S3, and Kafka, you'll optimize data models for batch and real-time processing. Collaborating with stakeholders, you'll deliver actionable insights on player behavior and gaming analytics, enhancing experiences and driving revenue with dashboards in Tableau. You'll … also oversee data infrastructure, ensure compliance with governance standards, and mentor junior team members, driving innovation in our fast-paced industry. What you'll be doing As part of your role, your responsibilities will include: Design, implement, and maintain robust ETL pipelines to integrate data from diverse sources More ❯

Job Reference: 10969JB Salary: £80,000 - £85,000 per year Senior Data Engineer Our client is seeking an experienced Senior Data Engineer to join a leading Financial Services company in Watford. The role requires a candidate with a strong background in data engineering, particularly with Amazon … arrangements. Salary Range: Between £80,000 and £85,000, depending on experience. Key Skills and Experience At least 4 years of experience as a Data Engineer or in a similar role. Extensive experience with SQL, Amazon Redshift, and ideally MySQL. Experience with visualization tools, preferably Amazon QuickSight. Proficiency with … AWS Glue and Python scripting for ETL processes. Strong data modeling skills. Experience developing ETL and ELT processes from multiple data sources. Experience designing and developing dashboards. Experience working in an Agile environment. Mentoring skills for less experienced team members. Practical experience with JIRA and Confluence. Knowledge of More ❯

decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and … business-driven metrics. Working on natural language to SQL AI transformations to extract data value. Working on natural language to other meta-language translation/transformation (e.g. LaTeX/mermail.io for diagramming, or natural language to code). Speech to text. Developing explainable AI approaches for transparency and trust. … Prototype and testing AI models before full-scale deployment. Skills & Experience Technical Expertise Understanding of transformer architectures, and large-scale language models. Experience with data engineering, model optimisation, and distributed computing. Strong programming skills in JavaScript, or Python/other AI-related languages. Strong SQL and data More ❯