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Data Engineer Remote working (1 day per month on-site) Competitive salary plus an industry leading bonus and pension scheme My client is looking for a Data Engineer to work on innovative projects that balance essential services, optimise cutting-edge technologies, and safeguard valuable assets. As a Data Engineer, you will develop future-proof pipelines and uncover deep insights from diverse datasets, collaborating with technical teams and clients to design, build, and leverage data architectures for ambitious projects. Why You Should Apply Work on impactful and diverse projects. Flexible working hours and locations to suit your lifestyle. Circa 1 day per month required on-site. Comprehensive health and well-being support. Engaging social events and a supportive community. Generous employee benefits including industry leading bonus and pension scheme. What You'll Be Doing Design and build robust end-to-end data pipelines locally and in the cloud. Advise on system, data, and model architecture during early-stage scoping. Ensure data is stored appropriately for its intended purpose. Clean, summarise, and analyse datasets for exploratory insights. Collaborate on multiple projects, raising technology readiness levels of proofs-of-concept. Stay updated on relevant tools and techniques in data-driven modelling. About You Be able to do the job as described. Bachelor's degree in a scientific or engineering discipline. Expert in Python programming. Proficient in Linux and Windows environments, version control via Git, and unit/integration testing. Experienced with cloud platforms, relational databases, SQL, and building ETL pipelines. Skilled in data cleaning, merging, and visualization, with exploratory data analysis expertise. (Advanced Mathematics, AI, Data Science, Data, Data Engineer, Data Pipelines, Data Architecture, Data Insights, Cloud Platforms, Python Programming, Linux, Windows, Version Control, Git, Unit Testing, Integration Testing, Relational Databases, SQL, ETL Pipelines, Data Cleaning, Data Merging, Data Visualisation, Exploratory Data Analysis, Technology Readiness, Proofs-Of-Concept, Data-Driven Modelling, Scientific Discipline, Engineering Discipline, Flexible Working, Health Support, Well-Being, Social Events, Employee Benefits, Enhanced Leave, Pension Scheme)
Data Engineer Manchester Hybrid (2-3 days per week in the office) Salary: Flexible dependent on experience Discretional Bonus Structure Private Medical / Dental insurance / Nursery Scheme A global law firm is seeking a talented Data Engineer to join its team and help shape its data landscape. The role involves driving data projects from start to finish. The be successful in the role you will need strong experience with SQL and Azure Data Lake. Key Responsibilities of the Data Engineer: Reviewing and improving existing systems and data pipelines. Developing and deploying data pipelines in Azure. Integrating data from various sources. Ensuring data services are automated, reliable, and secure. Enhancing data efficiency and quality. SQL normalization. Additional Responsibilities as a Data Engineer: Cleaning and structuring data to firm standards. Developing and maintaining data models and pipelines. Supporting data infrastructure design. Automating data quality measures and alerts. Continuously improving data processes. Resolving data issues and identifying opportunities. Are you a down to earth, and passionate about data? Are you ready to drive its initiatives forward? Interested applicants are encouraged to apply and make an impact on the firm's data strategy.