Data Engineer

  • London
  • Adeccogroup
About the role Are you a talented Data Engineer looking for your next challenge? Location: London, Spitalfields with hybrid working Salary: competitive, DOE (+ bonus) Our client, a cutting-edge technology company based in Spitalfields, London, is seeking a skilled and motivated individual to join their dynamic team. As a Data Engineer, you will play a crucial role in designing , developing , and maintaining the data infrastructure that powers their innovative solutions. If you have a passion for data and a strong background in Azure, Synapse, Databricks, SQL, Python, and DataOps, we want to hear from you! What you'll be doing · Collaborate with cross-functional teams to understand data requirements and design efficient data pipelines. · Develop and maintain scalable data models and databases. · Design and implement data integration and ETL/ELT processes. · Optimise and tune data storage and retrieval processes. · Collaborate with the Data Science team to implement machine learning algorithms and AI models. · Ensure data quality and integrity throughout the data lifecycle. · Monitor and troubleshoot data pipelines to ensure optimal performance. · Stay up-to-date with the latest trends and technologies in data engineering About you Our priority is having someone who is proactive with their workload and can use their initiative to speak with the wider business. This role has an amazing opportunity for you to work on lots of incoming projects, helping us deliver faster and more efficient data products.   Requirements: · Strong hands-on experience with Azure, Synapse, and Databricks · Excellent programming skills in SQL and Python · Proficiency in building and optimising data pipelines, architectures, and datasets · Familiarity with Medallion architecture and data lakes. · Experience with data integration and ETL/ELT processes. · Knowledge of DataOps principles and experience with CI/CD tools · Strong problem-solving and troubleshooting skills. · Excellent communication and collaboration skills. · Ideally we would be looking for 2-5 years’ experience in a similar role of data engineer or analytics engineer. Why choose us? Benefits Range of discounts via our own benefits platform (buy & sell holidays, discounted shopping vouchers, cinema tickets, etc) Huge incentives – Team and company wide (including weeks abroad, days out at the races, fine dining experiences, etc). TagU - An amazing platform which offers thousands of life & work skills for free - Want to learn a new language? Go for it! LinkedIn Learning - Access to thousands of courses to fine tune your skills - Free for you! Opportunities for career growth and development. Flexible working hours. Relaxed and friendly work environment. Conveniently located office, just a short walk from London Liverpool Street train station. Make an impact where it matters most. A journey to bring out the best in you We believe that understanding the hiring process helps you to prepare, feel, and be, at your best. As a global, multi brand organisation with multiple different roles, our application process can vary. On , you will find some of the key steps you can expect to guide you along the way. Interview Stages: First stage – face to face with Craig, Data Engineering Manager. Second stage – Teams call with Shaun, Finance Systems & Data Manager & Chris. We understand a face to face may not be possible depending on availability and notice, so we may offer an initial Teams video interview followed by the final stage with Chris and Shaun. As one of the world’s largest employers we believe in talent, not labels, and focus on the diverse and unique skills our people bring. We seek to foster a culture of belonging and purpose, an environment where everyone can thrive and feel engaged, and where difference is respected and valued. Our commitment to equity, equal opportunity, inclusion, and diversity is part of our broader commitment to respecting fundamental human rights across our value chain. The Adecco Group is proud to be an Equal Opportunity Employer.       Posting date: 04-04-