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We are seeking a Senior Data Engineer to help evolve and enhance our data platform and capabilities. You’ll work on building robust, scalable, and intelligent data systems that power real-time services, insights, and decisions across Dot Digital.
Job Responsibility:
Design and build scalable, reliable, and secure data pipelines for streaming, batch, and real-time processing
Work in partnership with the Data Science teams to build scalable Pyspark workloads that can be leveraged to generate advanced models
Implement and optimise data models and storage solutions using Python and SQL with orchestration tools in a cloud environment
Leverage AI to automate both data processing and engineering processes
Advocate and uphold best practices for data governance, security, and monitoring
Collaborate cross-functionally with engineers, analysts, and data scientists to deliver impactful data solutions
Mentor and support junior engineers in data engineering principles and practices
Evaluate and recommend new tools and technologies to strengthen data services
Requirements:
Significant experience delivering Python-based projects for data engineering
Experience building and tuning spark pipelines that run at scale across large quantities of data
Strong hands-on experience with SQL and NoSQL databases (e.g. SQL Server, MongoDB, Cassandra)
Proven experience with modern data warehousing and large-scale processing (e.g. Snowflake, DBT, BigQuery, Clickhouse)
Proficient with data orchestration tools such as Airflow, Dagster, or Prefect
Experience with cloud platforms (Azure, AWS, or GCP) for data processing and storage
Practical experience with Kafka or equivalent event-driven architectures (e.g. AWS SQS, Azure EventHubs, AWS Kinesis)
Good understanding of data modelling for OLAP and OLTP workloads
Familiar with agile methodologies and CI/CD processes in the context of data solutions
Experienced as a senior team member on complex data engineering projects
Able to design and optimise data structures for high-volume systems
Experienced in assisting with data platform modernisation or migration to the cloud
Takes initiative to solve challenging data issues and drive projects forward
Nice to have:
Experience with Clickhouse in data pipelines and analytics solutions
Experience with Databricks or similar data platforms