DataOps Engineer

Hiire is helping Siemens Mobility, a global leader in Engineering and Technology, hire a DataOps Engineer for their team to help them advance on their mission of shaping the future of mobility!

As a world leader in state-of-the-art transportation solutions, Siemens Mobility is at the forefront of digital solutions for the railways sector. By designing, implementing, and maintaining advanced Software-as-a-Service (SaaS) solutions, we are helping our Mobility customers transform their business and turn their asset data into valuable information.

About the role:

Join Siemens Mobility Portugal for a dynamic role in our global engineering and technology services team. As a leader in sustainable transportation, we innovate solutions for electrification, automation, and digitization.

Explore Railigent X, a suite empowering rail operators with data comprehension and actionable insights. We excel in urban, interurban, and logistics transport, integrating solutions for efficient passenger and freight transportation.

You can find more details about the project here.

As a DataOps Engineer, you will be key in focusing and automating data workflows and cloud infrastructure. You will collaborate closely with Data Scientists, Data Engineers, and DevOps Engineers to ensure smooth and reliable data operations from ingestion to deployment.

Your primary responsibility will be managing and optimizing data pipelines, while maintaining performance and scalability across our cloud-based infrastructure.

Key Responsibilities:

• Build, maintain, and optimize scalable data pipelines to ensure smooth data flow and integration across systems;

• Manage and optimize real-time data streaming and processing systems to handle large-scale, low-latency data operations;

• Create and manage APIs to facilitate integration with data systems, enabling smooth data services for internal stakeholders;

• Ensure the automation and continuous monitoring of data workflows, implementing performance improvements to enhance system efficiency;

• Collaborate closely with Data Scientists, Data Engineers, and DevOps Engineers to enhance data workflows and optimize processes for operational efficiency;

• Utilize data visualization techniques to monitor pipeline performance and ensure data processes meet business and operational requirements;

Your Qualifications – Must Have

• Bachelor’s Degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or a related field (or equivalent experience in a Data-related role);

• 3+ years of experience in data engineering, DevOps, or a related DataOps role;

• Practical knowledge of cloud-based data systems and workflow automation;

• Strong proficiency in Python and SQL for building and optimizing data workflows;

• Solid experience with Docker for managing and deploying data services;

• Experience with core AWS services such as S3, Lambda, and RDS for cloud-based data operations;

• Strong experience with Apache Kafka for real-time streaming and low-latency data processing;

• Proficiency in automating workflows using AWS Wrangler and Boto3;

• Proficiency in monitoring tools like Grafana and AWS CloudWatch;

• Fluent English speaking and writing skills.

Your Qualifications – Nice to Have

• Familiarity with FastAPI, Pydantic, or similar frameworks for building APIs;

• Hands-on experience with Kafka Connect and KSQLDB for advanced streaming functionality;

• Knowledge of Kubernetes for orchestrating containerized applications;

• Familiarity with MLFlow or Kubeflow to support machine learning model deployment and operations;

• Experience with tools like Great Expectations or dbt for data validation and testing;

• AWS certification (AWS Certified Solutions Architect or Developer) is a plus.

What you can expect from us:

• Attractive remuneration package;

• A hybrid and flexible working model to promote a better work-life balance;

• 2 volunteering days a year and 4 additional given days to your 22 days of leave;

• Free Health Insurance and access to our on-site medical center;

• Possibility to enroll in sports activities, both on-campus or through several discounted partner gyms available;

• Access to Siemens Learning Platforms that allow for internal online courses, as well as external platforms such as Coursera, Udemy, and LinkedIn Learning;

• A shuttle bus to commute to the facilities, free on-campus parking equipped with free charging points for your electric vehicle, and special tariffs for train trips with CP;

• Various discounts via multiple portals and partnered websites.

If you are passionate about shaping the future of the railway industry with innovative solutions and meet the above qualifications, we would love to hear from you.

Apply Now! Join us and become part of a team that drives digital transformation in the railway industry through cutting-edge technology and innovative solutions.