Senior Data Engineer

As a Data Engineer, you’ll play a key role in building modern, scalable, and high-performance data solutions on Google Cloud Platform (GCP). You’ll be part of our growing Data & AI team, designing and implementing data architectures that help clients unlock the full potential of their data.

Your job’s key responsibilities are:

Building efficient and scalable ETL/ELT processes to ingest, transform, and load data from various structured and unstructured sources (databases, APIs, streaming platforms) into BigQuery and Cloud Storage

Implementing data ingestion and real-time processing using Dataflow (Apache Beam) and Pub/Sub for batch and streaming workflows

Developing SQL transformation workflows with Dataform, including version control, testing, and automated scheduling with built-in quality assertions

Creating efficient, cost-optimized BigQuery queries with proper partitioning, clustering, and denormalization strategies

Orchestrating complex workflows using Cloud Composer (Apache Airflow) and Cloud Functions for event-driven data processing

Implementing centralized data governance and metadata management using Dataplex with automated cataloging and lineage tracking

Monitoring and optimizing data pipelines for performance, scalability, and cost using Cloud Monitoring and Cloud Logging

Collaborating with data scientists and analysts to understand data requirements and deliver actionable insights

Staying up to date with GCP advancements in data services, BigQuery features, and data engineering best practices

Essential Skills:

3+ years of hands-on experience as a Data Engineer with proven expertise in Google Cloud Platform (GCP)

Strong experience with BigQuery (SQL, partitioning, clustering, optimization) and Dataflow (Apache Beam)

Strong programming skills in Python with experience in data manipulation libraries (PySpark, pandas)

Expert-level SQL proficiency for complex transformations, optimization, and analysis

Proficiency with Dataform for modular SQL-based data transformations and data pipeline management

Solid understanding of data warehousing principles, ETL/ELT processes, dimensional modeling, and data governance

Experience integrating data from various APIs and streaming systems (Pub/Sub)

Cloud Composer experience for workflow orchestration

Excellent communication and collaboration skills in English (min. B2 level)

Ability to work independently and as part of an agile team

Beneficial Skills:

Google Professional Data Engineer certification

Knowledge of BigLake for unified access and management of structured and unstructured data

Experience with Dataplex for managing metadata, lineage, and data governance

Familiarity with Infrastructure-as-Code (Terraform) for automating GCP resource provisioning and CI/CD pipelines

Experience with data visualization tools such as Looker, Looker Studio, or Power BI

Interest in or experience with machine learning workflows using Vertex AI or similar platforms