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Senior Data Engineer (Software)

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: SALARIED_FT
From the employer’s posting

What you’ll work on

Full posting
  • Own data products end to end, from discovery and design through delivery and operation

  • Build scalable data pipelines using modern cloud-native tooling

  • Turn ambiguous operational problems into structured engineering plans

  • Mentor and coach engineers and share knowledge across the team

  • Prototype and validate ideas quickly to reduce technical and product risk

From the employer’s posting
Take end-to-end ownership of data products, from technical discovery and design.
Build scalable data pipelines using modern cloud-native tooling
Turn ambiguous business and operational problems into structured engineering plans
Mentor and support engineers through coaching, collaboration, and knowledge sharing.
Prototype and validate ideas quickly to reduce technical and product risk early

What you’ll bring

All qualifications

Core experience

  • Expert-level PySpark and Databricks experience in production environments
  • Strong SQL and data modelling skills
  • Strong software engineering, system design and distributed systems understanding
  • Experience leading technical initiatives and making architecture decisions
  • Experience implementing CI/CD and automated testing

Preferred experience

  • Knowledge of C#/.NET
Qualification wording
Expert-level PySpark and Databricks experience in production environments
Strong SQL and data modelling skills
Strong understanding of software engineering principles, system design, and distributed systems
Experience leading technical initiatives, making architecture decisions, and clearly communicating trade-offs
Experience implementing CI/CD, automated testing, and engineering best practices
Knowledge of C#/.NET is a plus

Benefits in the posting

Full benefits wording
  • Wellness Programs: We prioritise your well-being through our wellness initiatives.
  • Equal Employment Opportunity Statement

From the employer’s posting.

About Camlin Group

Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors.

In the employer’s words · Read in context

Apply at Camlin Group

Posting record

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Status in our records
Live
First seen by us
Oct 14, 202621 days ago
Recorded sightings
25
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 21

Similar jobs usually come down between day 6 and day 54.

From 11,115 similar postings that came down. Coming down is not always a hire.

Camlin Group is hiring

9 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C#
  • Python
  • SQL
  • AWS
  • Databricks
  • PostgreSQL
  • Spark
  • PySpark
Where the posting names them
- Modern cloud-based data platforms (AWS) - C#/.NET What we are looking for:
- Strong SQL and data modelling skills - Knowledge of C#/.NET is a plus - Strong understanding of software engineering principles, system design, and distributed systems
Our current tech stack includes: - Python - Apache Spark
- Expert-level PySpark and Databricks experience in production environments - Strong SQL and data modelling skills - Knowledge of C#/.NET is a plus
- PostgreSQL - Modern cloud-based data platforms (AWS) - C#/.NET
- Apache Spark - Databricks - PostgreSQL
What we are looking for: - Expert-level PySpark and Databricks experience in production environments - Strong SQL and data modelling skills
- Databricks - PostgreSQL - Modern cloud-based data platforms (AWS)
- Python - Apache Spark - Databricks

Your next step

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

About Camlin

Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors.


At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems. As of now, Camlin operates in over 20 countries worldwide.🌐


We are looking for a Senior Data Engineer to help design and deliver data products focused on predictive maintenance, anomaly detection, asset monitoring, and energy forecasting.  

This is a highly hands-on engineering role for someone who enjoys solving difficult data problems in real operational environments. You’ll work closely with domain experts, product stakeholders, and engineers to turn data into reliable systems that create measurable business impact.  

As a Senior Data Engineer, in a addition to technical execution, you will be expected to: 

  • Take end-to-end ownership of data products, from technical discovery and design. through delivery, operation, and continuous improvement. 
  • Provide technical leadership across initiatives, implementation approaches, and engineering best practices. 
  • Mentor and support engineers through coaching, collaboration, and knowledge sharing. 
  • Drive design and implementation decisions, balancing short-term delivery needs with long-term maintainability and scalability. 
  • Champion high standards of quality, reliability, security, and operational excellence across the platform. 


What you'll work on:  

You’ll help build data products used in energy environments, including:  

  • Predictive maintenance systems for critical infrastructure  
  • Anomaly detection on sensor data  
  • Asset monitoring and operational intelligence platforms  
  • Energy forecasting and time-series modelling systems  

The work involves complex real-world constraints:  

  • Noisy and incomplete sensor data  
  • Sparse labels and uncertain signals  
  • Large-scale time-series datasets  
  • Scaling systems into real world solutions  
  • Translating unclear requirements into practical delivery plans  


What you'll do:  

  • Design and build end-to-end data-driven products that are part of our SaaS offering  
  • Work closely with data scientists, product managers, and domain experts to shape technical solutions  
  • Work alongside frontend, backend, and data engineers to deliver customer-facing features, supporting the development of backend APIs and frontend visualizations  
  • Turn ambiguous business and operational problems into structured engineering plans  
  • Prototype and validate ideas quickly to reduce technical and product risk early  
  • Build scalable data pipelines using modern cloud-native tooling  
  • Influence technical direction, architecture decisions, and product roadmap discussions  
  • Improve engineering quality, maintainability, and operational reliability across the stack  


Our current tech stack includes:  

  • Python  
  • Apache Spark  
  • Databricks  
  • PostgreSQL  
  • Modern cloud-based data platforms (AWS)  
  • C#/.NET  


What we are looking for:  

  • Expert-level PySpark and Databricks experience in production environments  
  • Strong SQL and data modelling skills 
  • Knowledge of C#/.NET is a plus  
  • Strong understanding of software engineering principles, system design, and distributed systems 
  • Experience leading technical initiatives, making architecture decisions, and clearly communicating trade-offs to both technical and non-technical stakeholders 
  • Ability to design, build, and maintain scalable, reliable, and observable data systems across the full data lifecycle 
  • Experience implementing CI/CD, automated testing, and engineering best practices to improve quality, maintainability, and delivery speed 
  • Strong ownership mindset to deliver end-to-end data-driven products 
  • Comfortable operating in environments with uncertainty, translating complex business and operational challenges into practical engineering plans 
  • Strong systems-thinking mindset, able to connect product goals, data architecture, operational constraints, and business outcomes 
  • Collaborative and proactive leader who takes ownership, mentors others, constructively challenges assumptions, and drives measurable business impact through high-quality engineering solutions 

 

This role is not a good fit if you:  

  • Primarily identify as a pipeline-only or ETL-focused engineer  
  • Prefer fully specified requirements before starting work  
  • Want narrowly scoped responsibilities without product or technical ownership 


Our Values  

  • We work together 
  • We believe in people 
  • We won’t accept the ‘way it has always been done’ 
  • We listen to learn 
  • We’re trying to do the right thing 


Benefits: 

  • Daily food vouchers: for days worked in person in the premises. 
  • Training Support: We offer financial assistance for your training and development, based on company discretion. We also have an internal training platform to support your professional and personal development. 
  • Discounted Gym Membership: Stay fit with our discounted gym membership program. 
  • Wellness Programs: We prioritise your well-being through our wellness initiatives. 
  • Internal Reward & Recognition Tool Kudos: This streamlines and automates the process of acknowledging and appreciating employees and helps contribute to our positive workplace culture. 


Equal Employment Opportunity Statement

Individuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital states, ancestry, physical or mental disability, gender identity or sexual orientation.

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Location & working pattern

Parma, Italy

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