Google Data Engineer

Role: Data Engineer

Who You’ll Work With

At Slalom we co-create custom software, data, AI, and cloud products with clients who are ready to accelerate their digital transformation. We're passionate about technology, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change. We’re thrilled by the opportunity to build the future we want to see, with anyone willing to join us.

Slalom's Google Center of Excellence (COE) is focused on injecting intelligence into products, engineering systems that support learning and insight and creating innovative data products. Within Data Engineering we help customers build world-class products through effective use of:

• Batch and real-time data engineering, including scalable ETL/ELT pipelines using modern cloud-native architectures.
• Modern data platforms built on Google Cloud, including data lakes,lakehouses, and enterprise data warehouses.
• Streaming data platforms for real-time ingestion, event-driven architectures, and analytics.
• Data integration and orchestration using modern workflow and pipeline automation tools.
• Data platform modernization and migration, helping clients transition legacy data environments to Google Cloud.
• AI-ready data foundations, ensuring high-quality, governed, and scalable data to support advanced analytics and generative AI use cases.

What You’ll Do

Slalom Google Data and AI is comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery.

As a Data Engineer in Slalom's Google COE, you will work in collaborative teams to design, build, and modernize enterprise data platforms on Google Cloud Platform (GCP). You will deliver solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, and other Google Cloud services. You will help clients migrate and modernize data estates, implement real-time and batch pipelines, enable governed analytics, and accelerate AI-ready data foundations.

You will be engaged to participate in design sessions and be responsible for the timely completion of development items assigned to you in a project backlog.

*You will work in a hybrid environment, with expectation to be in-person with Slalom teams and clients as needed.

*You also must be within commutable distance to one of Slalom's listed office locations.

What You’ll Bring

You are passionate about Google Cloud and modern data engineering and continuously expand your skills through hands-on delivery, certifications, and collaboration across the Google COE. You enjoy solving complex data challenges and building scalable, secure, cloud-native platforms.

• Big Data Platforms (Dataproc, Apache Spark)
• GoogleBigQuery,BigLake, Cloud SQL
• Python, Java, SQL
• Firestore, Bigtable, Spanner, MongoDB
• Google Kubernetes Engine (GKE), Cloud Run
• Pub/Sub, Dataflow, Apache Kafka
• Managed Airflow,dbt,Dataplex

Nice to have

• Looker, Looker Studio
• Gemini Enterprise, AI, ML Ops
•