Job Opportunities API

RealityMine has been a pioneer in delivering data driven insights to the world's largest brands for over a decade. Our platform provides unique data solutions to our clients enabling them to make strategic, informed decisions powered by data from real people, collected in a privacy safe way. As we continue to expand, we are seeking a Data Engineer to join our Data Engineering team. This is a development-focused role for someone with strong foundations in SQL, Python and problem-solving, who is looking to grow into a well-rounded Data Engineer. You’ll work alongside experienced engineers to build, maintain and improve the data pipelines that support our customer reporting capabilities. The Role: Our offices are in Manchester and the role consists of hybrid working, where we ask for our team to be in the office for collaboration and team building 2 days per week. The rest of the week is up to you; deep focus at home, or more of the same! Your primary responsibilities will involve developing and maintaining a mix of real time and batch ETL jobs on a large and complex dataset. You will use and continue to develop your Python and SQL skills to ensure data accuracy, integrity, and scalability, while also engaging in continuous improvements to develop innovate and scalable data solutions. You won’t be expected to know everything from day one. You’ll be supported by experienced engineers through code reviews, pairing and mentoring, with opportunities to take on more ownership as your confidence and technical capability grow. This is a great opportunity for someone early in their data engineering career to gain hands-on experience working with large scale data pipelines, AWS cloud technologies and production engineer practices in a supportive team environment. After a suitable settling in period, you will also join our out of hours on call team, with appropriate support, guidance and additional compensation. Key Responsibilities: · Work with the team understand requirements and to manage and organise priorities effectively. · Continually review and measure the performance of the data pipeline and evaluate improvements in design, architecture and tooling. · Design and develop ETL, infrastructure as code and automation scripts that follow industry best practices and standards. · Supporting and identifying improvements to the deployed production systems to ensure high application uptime and stability. · Monitoring application performance to handle increases in scale and data volumes. · Maintaining clear documentation for datasets, logic, processes and known issues. · Collaborate with internal engineering, product and operations teams to align on scope and deliverables. · Adhering to Company Policies and Procedures Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety. About You: Here’s what we’re looking for: · 1+ years of SQL and Python professional development experience as a Data Engineer, preferably using AWS or Google Cloud Platform. · A self-motivated and proactive learner with a growth mindset, who is keen to develop and progress their data engineering career. · Strong analytical and communication skills to take a data driven approach in presenting decisions to stakeholders. · The ability to problem-solve and break down complex problems, whilst working on large and complex datasets. · Someone who is flexible and agile, ready to adapt to changes when things don’t go to plan. · Knowledge of agile software development best practices including continuous integration, automated testing and working with software engineering requirements and specifications. · Good interpersonal skills, positive can-do attitude and willing to help other members of the team. · Experience using Apache Spark (scala or python) is preferred, however training will be provided. · Exposure to using AI