Remote engineer

hackajob is collaborating with Virgin Media to connect them with exceptional professionals for this role. \Analytics Engineer Full time / part time / job share : Full time Technology Uxbridge with flexibility to work from home can be on a work from home basis if needed, but we'll ferry you in a few times a year from wherever you are in the UK for team or company days, or our famous giffgaff summer and giffgaff is a little different to your ‘normal’ telecoms company. We’re a mobile brand owned by Virgin Media O2 but run by our members (what we call our valued customers) and we’ve been awarded Uswitch Network of year for 6 years out of 7! founded upon the principle of putting community first, it’s always been our aim to do The connections we make online improve our lives \decision we make - working with our members (who are rewarded for helping) across Our vibrant community, online platform and immense value looking to acquire new members - but to do that we need the best people to help and We are looking for a skilled Analytics Engineer to join our team and help build and maintain robust data pipelines that support our analytics applications. The Data Engineering team has recently undergone a technology transformation to migrate from our legacy data warehouse to a brand-new data platform (Snowflake + dbt + Argo Workflows + Kafka) to better enable the exciting needs of our data stakeholders (Data Science, Machine Learning and Business Intelligence, etc.). Having built a strong technology foundation, we are now looking for ways to improve the value that we deliver to our data stakeholders. background in data engineering, analytics and be proficient in designing, building, and deploying scalable data pipelines. Product analytics is the practice of using data to inform decision-making related to user As an Analytics Engineer, you will work closely with the Data Science, Product teams and Business teams to build data pipelines and analytical products to support self-serve analytics, data-driven Diversity and inclusion are a priority for us and we are making sure we have lots of support Data and software engineering is at the heart of what we do here at giffgaff - our agile engineering teams build and support a set of applications and services that combined create our unique user experience on the giffgaff website, enable our internal teams to n We have a culture of building and owning all the code that we use, and take pride in this. Design and implement robust data models (e.g., data vault). ● Develop and maintain dimensional data models to support BI and reporting Develop and implement analytics solutions to track key performance metrics ● Design and build data pipelines to collect, process, and store large volumes of structured and unstructured data from various sources. ● Develop and maintain data quality checks and data validation processes. ● Develop and automate reports, dashboards, and data visualisations to Build and maintain tooling and frameworks to automate data pipelines for experimentation and ML modelling ● downstream in the Snowflake data platform model ● Monitor and troubleshoot data pipeline issues and provide timely resolution. ● Work closely with product managers, data scientists, product analysts and software engineers to identify analytical requirements. Bachelor's degree in computer science, engineering, mathematics, or a related field. ● 3+ years of experience in data/analytics engineering with a focus on building data Proficiency in SQL and experience with one or more programming languages such as Python, Java. ● Experience with modern cloud data warehouse platforms such as Snowflake, n ● Experience with cloud-based data platforms, particularly AWS or GCP. ● Experience with data warehousing, data modelling, and ETL development. ● performance of a product to reach the company's commercial goals. ● Hands-on experience with data visualisation tools such as Tableau, Looker, Streamlit or Power BI. ● Previous experience in similar analytics engineering roles with focus on product analytics and data modelling is highly desirable. ● Our commitment to equity, diversity and inclusion : work, define our culture and we encourage everyone to bring their whole selves to the multi-skilled, highly motivated and flexible. In return for your outstanding efforts, you'll be rewarded with a competitive salary and