Senior Data Engineer

Job Title: Senior Data Engineer Company: Basis Job Category: Data Science Roles & Responsibilities: ##### The Role * Data infrastructure: architect and maintain data infrastructure for analytics, modelling and reporting across cloud and edge platforms. * Pipelines: build, maintain and improve batch and streaming data pipelines. * Automated data quality control: establish pipelines that compare required performance to measured results, evidencing regulatory compliance for our metering business. * Metering data products: own the reporting and data products that our commercial and regulatory obligations depend on. * Heterogeneous data: link our products' high\-rate, high\-resolution data with national and global climate, energy and financial data streams. * Models: own the energy \& savings models, their validation and the fleet reporting behind them. * Data best practices: enforce the quality, security, governance, availability and lineage of data across the platform. * Testing and standards: set up and maintain test frameworks, including continuous integration and data QC; supply data for systems integration testing; and review peers' code to lift data engineering standards across the team. * 5\+ years in a data engineering role building end\-to\-end ETL pipelines and datasets, and working with data warehouses, data lakes and the associated infrastructure, ideally with high\-rate time\-series or sensor data * Experience building, maintaining and improving batch and streaming data pipelines * Experience with SQL and NoSQL databases, and storage optimised for high\-speed time series data * Experience implementing DevOps practices within the data platform, including CI/CD, data observability, monitoring and lineage * The ability to write software in at least two of: C, C\+\+, C\#, Rust, Go, Python, JavaScript * An understanding of the wider system beyond software, and the ability to articulate the impact of systems decisions on software and vice versa * A track record of working with a high degree of autonomy and owning systems end to end * Comfort with uncertainty and a team\-first attitude: you work well in a cross\-disciplinary team and contribute to the overall product If you have any questions about the role, fire them over to talent@wearebasis.com. Work Location: Auckland, Auckland, New Zealand Availability: Full time

* Experience with Go * Streaming protocols such as MQTT or ZMQ * Log processing, especially with Fluentd * Query engines over data lakes (e.g. Athena/Trino, BigQuery) * Experience with custom electronics or real\-time sensor data * A background in signal processing or data science * Experience in regulated or metering data environments ##### Benefits Key Skills: Data Science Salary: NZD 88500 - 150000 per yearly