Senior Data Engineer (Perm, Italy, Hybrid)

Senior Data Engineer (Perm, Italy, Remote with onsite requirements)

This is a permanent full time opportunity for those based in Italy.  This role will require travel onsite to Germany 

 

About Nearform
Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact.

Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI.

Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.  

As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products. Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems.

 

About the Senior Data Engineer role

As a Senior Data Engineer at Nearform your main task will be designing, building, and maintaining scalable data platforms, pipelines, and warehouses using SQL, Python, Spark, and other relevant technologies. You will play a key role in building efficient data solutions, optimizing performance, and ensuring seamless data integration. However as you’ll likely work on a variety of projects your responsibilities may also include:

• Designing, building, and optimizing data pipelines and ETL processes for large-scale data ingestion and transformation.
• Developing and maintaining data platforms and warehousing solutions to support analytics and business intelligence needs.
• Implementing scalable data storage solutions and ensuring high availability and performance.
• Enhancing performance in data processing workflows for maximum speed and scalability.
• Collaborating with data scientists, analysts, and stakeholders to understand business needs and translate them into data engineering solutions.
• Ensuring data quality, governance, and compliance across all systems.
• Supporting CI/CD processes for data pipeline deployments and implementing best practices in DevOps for data workflows.
• Conducting code reviews and enforcing best practices in version control, automation, and testing.
• Assisting with defining structured source code management and deployment processes.
• Working with and supporting Technical Leaders in project execution and timely delivery.
• Collaborating with client teams.

What we are looking for in this person

• Significant experience delivering at a Senior Engineer level, specialising in Data engineering. Our Seniors typically have at least 6 years’ commercial experience.
• Practical experience of delivering in an agile environment.
• Practical experience and knowledge of developing real-world solutions.
• Extensive hands-on experience in SQL, Python, and Spark for large-scale data processing.
• Databricks experience 
• Strong expertise in data warehousing technologies (e.g., Snowflake, Redshift, BigQuery, or similar).
• Experience with distributed data processing frameworks (Spark, Hadoop, or similar).
• Deep understanding of ETL processes, data modeling, and schema design.
• Strong experience with cloud-based data solutions (AWS, Azure, GCP) and data lake architectures.
• Experience with automation, CI/CD for data pipelines, and Infrastructure as Code (IaC).
• Deep understanding of versioning control tools - e.g. Git.
• Experience building software collaboratively using pull requests and code reviews.
• Familiarity with