Sand Technologies

Sand Technologies

Sand Technologies is a leading provider of enterprise AI solutions, offering cutting-edge technology to solve complex challenges. With a focus on outcomes over hype, we work with global enterprises to identify meaningful AI use cases, develop custom al...

Internet Software & Services

Description

  • Design and build reusable data ingestion pipelines from operational source systems into the Azure data platform.
  • Define canonical data models and transformation logic for analytical indices and the intelligence layer.
  • Design high-performance schemas using lakehouse patterns for storage, retrieval, and analysis.
  • Establish and document ingestion and modelling standards that other engineers can reuse consistently.
  • Partner with client data owners, stewards, and enterprise architects to agree access, security, and integration approaches.
  • Own data quality, lineage, observability, and pipeline reliability across the platform.
  • Implement governance and security controls appropriate for a regulated critical-infrastructure environment.
  • Mentor and unblock mid-level and junior data engineers and review their work.
  • Promote engineering best practice across the squad.
  • Contribute across a portfolio of water and energy utility clients as the platform grows.

Requirements

  • Proven experience as a Senior Data Engineer with hands-on production pipeline and data architecture experience.
  • Strong commercial experience with the Azure data platform, such as Data Factory, Synapse, Fabric, ADLS, or Databricks.
  • Expert-level SQL and Python skills.
  • Solid data modelling experience across dimensional and/or lakehouse patterns.
  • Experience integrating heterogeneous source data via API, file transfer, batch, or streaming.
  • Experience setting standards and patterns and mentoring or leading other engineers.
  • Ability to work directly with client data owners, stewards, and architects and communicate with non-technical stakeholders.
  • Knowledge of data governance, quality frameworks, and security practices in regulated environments.
  • Exposure to operational technology (OT)/SCADA, IoT/asset telemetry, or MQTT systems is desirable.
  • Utilities, water, or other asset-intensive industry experience is desirable.
  • Experience with Kafka, Spark/Spark Streaming, or Flink is desirable.
  • Understanding of machine learning workflows and how to support them with robust data pipelines is desirable.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

Data Platform Engineer

Qonto 1K-5K Banks

Qonto is hiring a Data Solution Engineer to build and operate reliable, self-service data solutions for its European fintech platform serving more than 600,000 customers and nearly 2,000 employees.

Apache Airflow AWS CI/CD Git Kubernetes Metabase Python Snowflake SQL Trino
22 hours, 53 minutes ago

Azure Data Engineering Architect - freelance

Lingaro 5K-10K IT Services

Data Engineering Architect responsible for designing and guiding scalable, secure data architecture and processing solutions that support the organization’s analytics needs and long-term data strategy.

Apache Spark AWS Azure Hadoop Python SQL
23 hours, 8 minutes ago

Full Stack Data Engineer

BioIntelliSense 51-250 Pharmaceuticals

BioIntelliSense develops medical-grade continuous health monitoring and clinical intelligence solutions for remote patient monitoring, infection screening, and care delivery outside traditional clinical settings.

23 hours, 8 minutes ago

Director – Analytics Platform

Bounteous 1K-5K Internet Software & Services

Bounteous is seeking a Director of Analytics Platform in the USA to lead the strategy, architecture, implementation, and evolution of enterprise analytics platforms that support data-driven business transformation.

AWS Azure Looker Power BI Tableau
23 hours, 8 minutes ago

You're on a roll! Sign up now to keep applying.

Sign Up

Already have an account? Log in

Used by 14,729+ remote workers