Overview

We are looking for an experienced Senior Data Engineer to join a growing Data Engineering and Analytics department. In this role, you will design and develop advanced data solutions for complex customer environments, with a strong focus on Google Cloud Platform and modern GCP data technologies. You will work across the full data lifecycle- from architecture and data modeling to pipeline development, data platforms, analytics, and production deployment.

Responsibilities:
  • Design and develop scalable data solutions on GCP.
  • Lead the technical design and implementation of customer data projects.
  • Understand business and technical requirements and translate them into effective data architectures.
  • Build and maintain ETL/ELT pipelines, Data Lakes, Lakehouses, and cloud-based Data Warehouses.
  • Design data models and integration processes for Batch and real-time workloads.
  • Work with structured, semi-structured, and unstructured data.
  • Select the appropriate technologies based on performance, scalability, security, and cost requirements.
  • Implement data quality, monitoring, governance, and orchestration processes.
  • Work closely with Data Architects, Data Engineers, DevOps teams, analysts, and customer stakeholders.
  • Participate in the development of analytics, AI, and ML solutions where relevant.
Required Qualifications:
  • At least 5 years of professional experience as a Data Engineer – mandatory.
  • Proven hands-on experience developing data solutions on GCP – mandatory.
  • Experience with data visualization tools such as Looker, Power BI, Tableau, or QuickSight.
  • Experience with data modeling, orchestration, performance optimization, and large-scale data processing.
  • Strong Python development skills, including building data pipelines and ETL/ELT processes.
  • High proficiency in SQL – mandatory.
  • Experience designing and developing cloud-based Data Warehouses and Lakehouse solutions.
  • Experience with ETL/ELT and transformation tools such as dbt, Dataform, Rivery, or similar platforms.
  • Familiarity with CI/CD, Git, Infrastructure as Code, and production deployment practices.
  • Strong analytical and problem-solving skills with excellent attention to detail.
  • Ability to learn new technologies independently and work across multiple projects.
  • Strong experience with several of the following GCP services: BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer, Cloud Run or Cloud Functions
  • Fluent English.
Nice To Have:
  • Hands-on experience with AWS or Microsoft Azure data services.
  • Experience with services such as AWS Glue, Redshift, EMR, Kinesis, Azure Data Factory, Synapse, or Databricks.
  • Experience with real-time data processing and streaming architectures.
  • Experience with Kafka or other event-driven platforms.
  • Knowledge of AI and ML services such as Vertex AI, Gemini, BigQuery ML, SageMaker, Bedrock, or Azure Machine Learning.
  • Relevant GCP professional certifications.
  • Previous experience working in consulting or customer-facing technology projects.
Skills:
  • Strong analytical and problem-solving skills with excellent attention to detail
  • Fluent English
Technologies:
  • GCP
  • Google Cloud Platform
  • Python
  • SQL
  • BigQuery
  • Cloud Storage
  • Dataflow
  • Dataproc
  • Cloud Composer
  • Cloud Run
  • Cloud Functions
  • Looker
  • Power BI
  • Tableau
  • QuickSight
  • dbt
  • Dataform
  • Rivery
  • Git
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