At a Glance
- Tasks: Build and maintain data pipelines to support analytics applications and drive data-driven decisions.
- Company: Join giffgaff, a unique mobile brand owned by Virgin Media O2, focused on community.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Diversity and inclusion are key values; bring your authentic self to our dynamic culture.
- Why this job: Make a real impact in a vibrant team while working with cutting-edge data technologies.
- Qualifications: 3+ years in data engineering, proficiency in SQL, and experience with cloud platforms.
The predicted salary is between 50000 - 70000 £ per year.
hackajob is collaborating with Virgin Media to connect them with exceptional professionals for this role.
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.).
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 decision making.
Key Responsibilities:
- 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.
- Build and maintain tooling and frameworks to automate data pipelines for experimentation and ML modelling downstream in the Snowflake data platform.
- 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.
Qualifications:
- 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 pipelines.
- 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.
- Experience with cloud-based data platforms, particularly AWS or GCP.
- Experience with data warehousing, data modelling, and ETL development.
- 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.
Diversity and inclusion are a priority for us and we are making sure we have lots of support. Our commitment to equity, diversity and inclusion defines our culture and we encourage everyone to bring their whole selves to work.
In return for your outstanding efforts, you'll be rewarded with a competitive salary.
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Some tips for your application 🫡
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