Senior Data Engineer - GCP

InventYOU AB; Kentucky; On-site; USD 120,000 - 180,000; Full time

Job summary

InventYOU AB is seeking a Senior Data Engineer to design, build, and optimise modern cloud-based data solutions on Google Cloud Platform. You will develop scalable data pipelines, integrate multi-source data, and ensure data quality and performance across analytics workloads.

The role requires strong Python/Java, SQL, and experience with ETL/ELT pipelines, data warehouses, and data lakes, plus familiarity with streaming/batch processing and Spark or Kafka.

Qualifications

• Senior-level Data Engineer with strong cloud experience.
• Proven hands-on GCP expertise is mandatory.
• Strong programming in Python and/or Java; SQL proficiency.
• Experience designing ETL/ELT pipelines and data architectures.
• Experience with data warehouses, data lakes, and large-scale processing.
• Familiarity with Spark, Kafka, and orchestration tools.
• Knowledge of CI/CD and modern software engineering practices.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
• Build and optimise cloud-based data solutions on Google Cloud Platform.
• Design data models and processing workflows for high quality data assets.
• Integrate structured and unstructured data from multiple sources.
• Develop batch and real-time data processing solutions; monitor pipelines.

Skills

GCP

Python

Java

SQL

Data Pipelines

ETL/Pipelines

Spark

Kafka

Git

CI/CD

Airflow

Terraform

Docker

Kubernetes

Data Quality

Data Governance

Tools

Airflow

Terraform

Docker

Kubernetes

Git

Job description

We are looking for a Senior Data Engineer with strong Google Cloud Platform (GCP) experience to join our team and contribute to the design, development, and optimisation of modern cloud-based data solutions.

In this role, you will design and build scalable data pipelines and data architectures, integrate data from multiple sources, and ensure high standards of data quality, reliability, and performance. You will work closely with Data Engineers, Data Scientists, Architects, and business stakeholders to deliver robust data solutions that support analytics and data-driven decision-making.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows
• Build and optimise cloud-based data solutions using Google Cloud Platform (GCP)
• Design and maintain data models and data processing workflows
• Integrate structured and unstructured data from multiple sources
• Develop batch and real-time data processing solutions
• Ensure high levels of data quality, reliability, availability, and performance
• Monitor, troubleshoot, and optimise data pipelines and production workloads
• Implement automated testing and data validation processes
• Contribute to data architecture and technical design decisions
• Support data warehouse and data lake solutions
• Apply data security, governance, and access-control best practices
• Contribute to CI/CD and automation practices for data solutions
• Collaborate with Data Scientists, Analysts, Architects, and other engineering teams
• Mentor less experienced engineers and contribute to data engineering best practices

• Senior-level professional experience in Data Engineering
• Strong hands-on experience with Google Cloud Platform (GCP) – mandatory
• Strong programming skills in Python and/or Java
• Strong experience with SQL
• Experience designing and developing ETL/ELT pipelines
• Experience with cloud-based data warehouses, data lakes, and large-scale data processing
• Experience with data modelling and database design
• Experience working with both structured and unstructured datasets
• Understanding of batch and real-time/streaming data processing
• Experience with orchestration and data workflow management
• Familiarity with Apache Spark or similar distributed data-processing technologies
• Experience with Apache Kafka or similar event-streaming technologies
• Understanding of data quality, data governance, security, and access-control principles
• Experience with Git, CI/CD, and modern software engineering practices
• Strong analytical and problem-solving skills
• Ability to work independently and take ownership of complex technical solutions
• Strong communication and collaboration skills

Nice to Have

• Experience with Apache Airflow
• Experience with Infrastructure as Code, such as Terraform
• Experience with Docker and Kubernetes
• Experience building data solutions supporting BI, analytics, or Machine Learning
• Experience with data governance and metadata management
• Experience with monitoring and observability of production data pipelines
• Experience working within large-scale enterprise data environments

You will be a great candidate for us if you

• Have strong hands-on Data Engineering expertise and solid GCP experience
• Enjoy designing scalable and reliable data architectures
• Can take ownership of complex data engineering solutions
• Have a strong focus on data quality, performance, and maintainability
• Enjoy solving complex data and integration challenges
• Can collaborate effectively across engineering, analytics, and business teams
• Are comfortable mentoring other engineers and sharing technical knowledge

Why join inventYOU

• Work on modern, cloud-native Data Engineering projects
• Build scalable solutions using Google Cloud Platform
• Work with modern data pipelines, architectures, and processing technologies
• Collaborate with experienced Data, Cloud, and Technology professionals
• Take ownership of technically challenging data solutions
• Continue developing your expertise in cloud and Data Engineering