Job Description
Job Description
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hackajob is collaborating with Virgin Media to connect them with exceptional professionals for this role.
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Want to make an application Make sure your CV is up to date, then read the following job specs carefully before applying.
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Job title : Analytics Engineern Full time / part time / job share : Full timen Job Family : Technologyn Location : Uxbridge with flexibility to work from homen Our wonderful gaff is located in Uxbridge, in leafy West London. But if commuting to thatn part of the country isn't warming your cockles – please don't be put off from applying forn this role.n The world has changed – particularly when it comes to ways of working. Most of our rolesn can be on a work from home basis if needed, but we'll ferry you in a few times a year fromn wherever you are in the UK for team or company days, or our famous giffgaff summer andn Christmas celebrations.
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Who we are :n giffgaff is a little different to your 'normal' telecoms company. We're a mobile brandn owned by Virgin Media O2 but run by our members (what we call our valuedn customers) and we've been awarded Uswitch Network of year for 6 years out of 7!n Sounds interesting so far? There's more.n The word giffgaff is an ancient Scottish word for “mutual giving”. Since we weren founded upon the principle of putting community first, it's always been our aim to don right by the planet and the people that live on it.n We started wanting to change the mobile industry, and we did – offering value,n flexibility and mutuality – but we aren't done yet . As we've grown over the years,n we've grown our vision too.
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We believe it's our responsibility to make sure that:n ● Keeping people connected doesn't damage the planetn ● Everyone can be connected, so everyone gets the same opportunitiesn ● The connections we make online improve our lives
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Our business model is unique. We take a highly collaborative approach to anyn decision we make – working with our members (who are rewarded for helping) acrossn all areas of the business. Our vibrant community, online platform and immense valuen proposition are key to our success. We're both proud and humbled to say that over then past few years our member base has grown, but our job is far from done. We're alwaysn looking to acquire new members – but to do that we need the best people to help andn that's why we're hiring!n The role and the team :n We are looking for a skilled Analytics Engineer to join our team and help build andn maintain robust data pipelines that support our analytics applications.n The Data Engineering team has recently undergone a technology transformation ton migrate from our legacy data warehouse to a brand-new data platform (Snowflake + dbtn + Argo Workflows + Kafka) to better enable the exciting needs of our data stakeholdersn (Data Science, Machine Learning and Business Intelligence, etc.).n Having built a strong technology foundation, we are now looking for ways to improve then value that we deliver to our data stakeholders. The ideal candidate will have a strongn background in data engineering, analytics and be proficient in designing, building, andn deploying scalable data pipelines.n Product analytics is the practice of using data to inform decision-making related to usern behaviour, product development and improvement. As an Analytics Engineer, you willn work closely with the Data Science, Product teams and Business teams to build datan pipelines and analytical products to support self-serve analytics, data-drivenn experimentation in Product Engineering.n Diversity and inclusion are a priority for us and we are making sure we have lots of supportn for all of our people to grow at giffgaff.n Data and software engineering is at the heart of what we do here at giffgaff – our agilen engineering teams build and support a set of applications and services that combinedn create our unique user experience on the giffgaff website, enable our internal teams ton work in the most productive and efficient ways and enable a whole range of awesomen features via modern APIs, events and microservices.
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We have a culture of building and owning all the code that we use, and take pride in this.n This allows us to keep full control on what's going on and how we shape solutions.n Key responsibilities :n ● Design and implement robust data models (e.g., star schema, snowflake schema,n data vault).n ● Develop and maintain dimensional data models to support BI and reportingn requirements.n ● Develop and implement analytics solutions to track key performance metricsn ● Design and build data pipelines to collect, process, and store large volumes ofn structured and unstructured data from various sources.n ● Develop and maintain data quality checks and data validation processes.n ● Develop and automate reports, dashboards, and data visualisations ton communicate insights and trends effectively to stakeholders.n ● Build and maintain tooling and frameworks to automate data pipelines forn experimentation and ML modellingn ● Develop and maintain a deep understanding of product domains to ensuren relevant events are produced and new entities and processes are integratedn downstream in the Snowflake data platform modeln ● Monitor and troubleshoot data pipeline issues and provide timely resolution.n ● Work closely with product managers, data scientists, product analysts andn software engineers to identify analytical requirements.n Skills, experience and attitudes :n Must have:n ● Bachelor's degree in computer science, engineering, mathematics, or a relatedn field.n ● 3+ years of experience in data/analytics engineering with a focus on building datan pipelines.n ● Proficiency in SQL and experience with one or more programming languages suchn as Python, Java.n ● Experience with modern cloud data warehouse platforms such as Snowflake,n BigQuery, Redshift or similar.
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● Experience with cloud-based data platforms, particularly AWS or GCP.n ● Experience with data warehousing, data modelling, and ETL development.n ● Strong analytical & communication skills and an understanding of what drives then performance of a product to reach the company's commercial goals.n ● Hands-on experience with data visualisation tools such as Tableau, Looker,n Streamlit or Power BI.n ● Strong problem-solving skills and attention to detail.n Valuable skills:n ● Previous experience in similar analytics engineering roles with focus on productn analytics and data modelling is highly desirable.n ● Experience working with distributed event stores and stream-processing platformsn such as Kafka of Kinesis.n ● Experience working with batch processing frameworks, such as DBT, Argon Workflows, Apache Airflow, etc.n ● Familiarity with Docker, Kubernetes, Amazon EKSn ● Familiarity with Continuous Integration with GitHub Actionsn ● Familiarity with Test-Driven Development and XPn Our commitment to equity, diversity and inclusion :n At giffgaff we want to challenge the old way of doing things. People, and the way theyn work, define our culture and we encourage everyone to bring their whole selves to then gaff. That's why we believe in creating an equitable, fairer, more inclusive business thatn champions different ideas and perspectives. We may be sort-of-small but we're big onn that caring, sharing thing & strive to create a supportive culture.n As a lean organisation, our team is built of a diverse, spirited range of people who aren multi-skilled, highly motivated and flexible.n In return for your outstanding efforts, you'll be rewarded with a competitive salary andn excellent benefits. xohmjla We believe that hard work should be supported and recognised.
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