Data Platform Developer
9 hours ago
We are seeking a highly skilled and motivated Data Engineer to join our team. This is an exciting opportunity to design, develop, and operate our enterprise data platform.
As a Data Engineer, you will work closely with the Data Insights team and business SMEs to drive the design, development, and operation of our enterprise data platform. You will be responsible for delivering new data pipelines for the business using a Scrum/Agile framework.
Key Responsibilities- Provide incident and problem resolution for the data platform and seek to continuously improve its performance.
- Implement and maintain ETL processes to ensure high-quality data delivery.
- Work with analytics function to ensure the platform provides the required data and performance.
- Design and implement solutions for increased automation, continuous integration, testability, simplicity, scalability, predictability, efficiency, security, and maintainability.
- Help deliver improved deployment frequencies, faster time to market, lower failure rates, and shortened lead time between fixes.
- Develop and deploy artefacts including views, analytical functions, and stored procedures.
- Continuously monitor platform infrastructure run costs to identify cost reduction opportunities.
- Bachelor's degree in Mathematics, Engineering, Computer Science, or related technical discipline.
- Expertise in languages like Python, Java, Scala, or SQL.
- In-depth knowledge of relational databases (SQL) and NoSQL databases.
- Understanding of data warehousing concepts, tools, and best practices for storing and processing large datasets is vital for building efficient data pipelines.
- Big Data Technologies: Familiarity with technologies like Spark Snowflake, Spark, or BigQuery, along with cloud platforms like AWS, Azure, or Google Cloud. Snowflake or BigQuery experience especially beneficial. Also DBT, Tableau, and Informatica.
- Knowledge of cloud platforms like AWS, Azure, or Google Cloud for data storage, processing, and deployment.
- Ability to design efficient and scalable data models and schemas for different data sources and storage systems.
- Experience working with business leadership to design data solutions that meet business needs, and demonstrated eye for solutions that will meet business needs.
- Experience working with large, complex source systems, and working with developers of those systems to dig in and understand the complexities of the data.
- Experience with integration of data from multiple data sources.
- Knowledge of various data ingestion techniques and frameworks, including event, stream, file, and database.
- Self-starter, with excellent time management and organisational skills.
- An accomplished and effective communicator at all levels and across all mediums.
- Collaborative team player with an open mindset.
- A range of flexible working options, including leave packages.
- Learning and development opportunities to support your career interests.
- Health and wellbeing support — access to wellness facilities and more.
- Share offers and insurance benefits.
- Social activities, community give-back programs, and paid volunteer days.
We value diversity and inclusion. We encourage applications from candidates of diverse backgrounds and lived experiences. If you require any adjustments or support during the recruitment process, please contact us.
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