Senior technical lead - python - azure devops Job at Randstad (Barcelona)

Senior technical lead - python - azure devops

Randstad Digital Switzerland is looking for an exceptional professional to lead ...

Location

Spain , Barcelona

Salary:

Not provided

Randstad

Expiration Date

February 28, 2026

Requirements

Minimum 10 years of professional experience in software engineering, technical leadership, or technical architecture
Deep expertise in Python, the Django framework, CI/CD pipelines (specifically Azure DevOps), and Git version control
Strong understanding of complex enterprise integration patterns and delivering robust cloud-based solutions
Proven ability to translate complex business requirements and security standards into technically sound and efficient architectural solutions
Based in Europe with the ability to travel visa-free to Spain

Job Responsibility

Architectural Guidance: Provide senior-level advice on technical design, architecture, and best practices, specifically for the Python/Django application stack
Performance Optimization: Support the team in troubleshooting complex issues and lead performance tuning efforts during both development and deployment phases
Standards & Compliance: Ensure the application adheres to strict security, scalability, and integration standards within the enterprise landscape
Technical Collaboration: Act as the technical liaison, collaborating closely with vendor technical leads, engineers, and internal Nestlé teams to resolve challenging technical roadblocks

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Senior Azure Data Engineer

Seeking a Lead AI DevOps Engineer to oversee design and delivery of advanced AI/...

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

At least 6 years of professional experience in the Data & Analytics area
1+ years of experience (or acting as) in the Senior Consultant or above role with a strong focus on data solutions build in Azure and Databricks/Synapse/(MS Fabric is nice to have)
Proven experience in Azure cloud-based infrastructure, Databricks and one of SQL implementation (e.g., Oracle, T-SQL, MySQL, etc.)
Proficiency in programming languages such as SQL, Python, PySpark is essential (R or Scala nice to have)
Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders
Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps)
Experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support
Knowledge of data management principles and best practices, including data governance, data quality, and data integration
Good project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines
Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues

Job Responsibility

Act as a senior member of the Data Science & AI Competency Center, AI Engineering team, guiding delivery and coordinating workstreams
Develop and execute a cloud data strategy aligned with organizational goals
Lead data integration efforts, including ETL processes, to ensure seamless data flow
Implement security measures and compliance standards in cloud environments
Continuously monitor and optimize data solutions for cost-efficiency
Establish and enforce data governance and quality standards
Leverage Azure services, as well as tools like dbt and Databricks, for efficient data pipelines and analytics solutions
Work with cross-functional teams to understand requirements and provide data solutions
Maintain comprehensive documentation for data architecture and solutions
Mentor junior team members in cloud data architecture best practices

What we offer

Stable employment
“Office as an option” model
Workation
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support

Senior Product Owner

Are you a seasoned Senior Product Owner ready to take on a critical role in an A...

Location

Spain , Barcelona

Salary:

Not provided

Randstad

Expiration Date

February 28, 2026

Requirements

A minimum of 10 years of hands-on experience in Product Ownership, Product Management, or Business Analysis, specifically for complex, enterprise-level projects
Deep expertise in Agile methodologies (Scrum/Kanban) and experience working with technical teams
Exceptional communication, negotiation, and stakeholder management skills, capable of influencing decisions at all levels
Experience or strong familiarity with Food Safety, Risk Assessment, or Regulatory/Quality Assurance domains is highly advantageous
Based in Europe with the ability to travel visa-free to Spain

Job Responsibility

Define & Drive the Product Vision: Own and shape the strategic roadmap and product backlog for the client's application, ensuring it meets stringent food safety objectives and regulatory needs
Stakeholder Liaison: Act as the critical link between global the client's Food Safety experts and the vendor development team. Translate complex business needs into clear, actionable user stories
Agile Execution: Lead the vendor development team (Scrum/Kanban) to ensure the timely and high-quality delivery of features. Manage scope, priorities, and change requests effectively
Quality Assurance: Validate all deliverables against defined acceptance criteria and quality standards, ensuring the final product meets functional and security requirements

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Senior product owner

Are you a seasoned Senior Product Owner ready to take on a critical role in an A...

Location

Spain , Barcelona

Salary:

Not provided

Randstad

Expiration Date

February 28, 2026

Requirements

Minimum 10 years of hands-on experience in Product Ownership, Product Management, or Business Analysis for complex, enterprise-level projects
Deep expertise in Agile methodologies (Scrum/Kanban)
Experience working with technical teams
Exceptional communication, negotiation, and stakeholder management skills
Experience or strong familiarity with Food Safety, Risk Assessment, or Regulatory/Quality Assurance domains is highly advantageous
Based in Europe with the ability to travel visa-free to Spain

Job Responsibility

Define & Drive the Product Vision: Own and shape the strategic roadmap and product backlog for the client's application, ensuring it meets stringent food safety objectives and regulatory needs
Stakeholder Liaison: Act as the critical link between global the client's Food Safety experts and the vendor development team. Translate complex business needs into clear, actionable user stories
Agile Execution: Lead the vendor development team (Scrum/Kanban) to ensure the timely and high-quality delivery of features. Manage scope, priorities, and change requests effectively
Quality Assurance: Validate all deliverables against defined acceptance criteria and quality standards, ensuring the final product meets functional and security requirements

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Senior AI ML Engineer

We are seeking a highly skilled and experienced Assistant Vice President (AVP), ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field
Minimum of 6+ years of professional experience in Data Science, Machine Learning Engineering, or a similar role, with a strong track record of deploying ML models to production
Proven experience in a lead or senior technical role
Expert-level proficiency in Python programming, including experience with relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn) and deep learning frameworks (e.g., TensorFlow, PyTorch)
Strong hands-on experience designing, developing, and deploying RESTful APIs using FastAPI
Solid understanding and practical experience with CI/CD tools and methodologies (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps) for MLOps
Experience with MLOps platforms, model monitoring, and model versioning
Experience with at least one major cloud provider (e.g., AWS, Azure, GCP) for deploying and managing ML workloads
Proficiency in SQL and experience working with relational and/or NoSQL databases
Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques

Job Responsibility

Design, develop, and implement advanced machine learning models (e.g., predictive, prescriptive, generative AI) to solve complex business problems, from initial data exploration and feature engineering to model training and evaluation
Lead the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance
Build and maintain robust, high-performance APIs (using frameworks like FastAPI) to serve machine learning models and integrate them with existing applications and systems
Establish and manage continuous integration and continuous deployment (CI/CD) pipelines for ML code and model deployments, promoting automation and efficiency
Collaborate with data engineers to ensure optimal data pipelines and data quality for model development and deployment
Conduct rigorous experimentation, A/B testing, and model performance monitoring to continuously improve and optimize AI/ML solutions
Promote and enforce best practices in software development, including clean code, unit testing, documentation, and version control
Mentor junior team members, contribute to technical discussions, and drive the adoption of new technologies and methodologies within the team
Effectively communicate complex technical concepts and model results to both technical and non-technical stakeholders.

What we offer

Not explicitly stated.

Fulltime

Senior Data Engineer

At Blue Margin, we are on a mission to build the go-to data platform for PE-back...

Location

United States , Fort Collins

Salary:

110000.00 - 140000.00 USD / Year

Blue Margin

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
5+ years of professional experience in data engineering, with emphasis on Python & PySpark/Apache Spark
Proven ability to manage large datasets and optimize for speed, scalability, and reliability
Strong SQL skills and understanding of relational and distributed data systems
Experience with Azure Data Factory, Synapse Pipelines, Fivetran, Delta Lake, Microsoft Fabric, or Snowflake
Knowledge of data modeling, orchestration, and Delta/Parquet file management best practices
Familiarity with CI/CD, version control, and DevOps practices for data pipelines
Experience leveraging AI-assisted tools to accelerate engineering workflows
Strong communication skills
ability to convey complex technical details to both engineers and business stakeholders

Job Responsibility

Architect, design, and optimize large-scale data pipelines using tools like PySpark, SparkSQL, Delta Lake, and cloud-native tools
Drive efficiency in incremental/delta data loading, partitioning, and performance tuning
Lead implementations across Azure Synapse, Microsoft Fabric, and/or Snowflake environments
Collaborate with stakeholders and analysts to translate business needs into scalable data solutions
Evaluate and incorporate AI/automation to improve development speed, testing, and data quality
Oversee and mentor junior data engineers, establishing coding standards and best practices
Ensure high standards for data quality, security, and governance
Participate in solution design for client engagements, balancing technical depth with practical outcomes

What we offer

Competitive pay
strong benefits
flexible hybrid work setup

Fulltime

Senior Data Science Solution Architect

The consultant will need to have extensive experience working across Microsoft e...

Location

United States , Irving

Salary:

Not provided

Hire IT People, Inc

Expiration Date

Until further notice

Requirements

Extensive experience working across Microsoft environments utilizing Azure Cloud Solutions
Broad skill set encompassing SQL, Python, Dataiku, Alation, Databricks, Snowflake, Power BI, Tableau, AWS and Azure Clouds
Strong experience creating design documentation, and knowledge-based artifacts
Prior experience working with Accounting and Finance Leaders, as well as Sales and Operations Leaders – with an understanding of financial data and operational data (job coding, vendor data, costs, etc)
Expertise as a Microsoft Certified Trainer, Data science professional and Amazon Subject matter expert
Prior expertise from the Center of Excellence for Data, AI and ML
Minimum qualification is a bachelor's degree or equivalent in engineering or equivalent in a related field or a foreign equivalent is required closely related field with relevant experience

Job Responsibility

Work in collaboration with the business operations leaders to gain insight to how the company utilizes their data, uncover additional needs, and ultimately build an enhanced and scalable environment to meet business initiatives
Data Analysis and Data engineering: Utilizing tools and technologies like SQL and Python for data analysis and engineering tasks
Implementing data engineering activities using platforms like Databricks and Snowflake
Data Science Methodologies: Applying data science methodologies, using Python and tools like Dataiku for data science workflows
Apply Machine Learning strategies and models for a better Model deployment and pipelines
Data Governance: Serving as subject matter expert in Data Governance, leveraging Alation to manage and Govern Data effectively by doing data cataloging and stewardship
Team Leadership: Acting as a team or technical lead, responsible for Overseeing and delivering the team's work in data engineering and analysis
Dashboard Creation: Creating dashboards using visualization tools such as Power BI, Tableau and Microsoft suite
Cloud Services: Leveraging Amazon web services (S3, IAM, Redshift, Cloudwatch, Glue, Sagemaker,etc.. ) and Azure( Microsoft Fabric, Azure Data Factory,SQL Server,Azure SQL,SSAS,Synapse,Power BI) Cloud Services to implement and deliver business activities along with compliance, Security, Disaster recovery , testing and Devops
Assist the team or firm with the expertise as a Microsoft Certified Trainer, Data science professional and Amazon Subject matter expert

Senior Data Scientist

Location

India , Bengaluru

Salary:

Not provided

ADM

Expiration Date

Until further notice

Requirements

Bachelor's degree in Data Science, Machine Learning, Computer Science, Statistics, or a related field. Master’s degree or Ph.D. is a plus
7+ years of experience in data science, machine learning, or AI, with demonstrated success in building models that drive business outcomes
Proficient in Python, R, and SQL for data analysis, modeling, and data pipeline development
Experience with DevSecOps practices, and tools such as GitHub, Azure DevOps, Terraform, Bicep, AquaSec etc
Experience with cloud platforms (Azure, AWS, Google Cloud) and large-scale data processing tools (e.g., Hadoop, Spark)
Strong understanding of both supervised and unsupervised learning models and techniques
Experience with frameworks like TensorFlow, PyTorch, and working knowledge of Generative AI models like GPT and GANs
Hands-on experience with Generative AI techniques, but with a balanced approach to leveraging them where they can add value
Proven experience in rapid prototyping and ability to iterate quickly to meet business needs in a dynamic environment

Job Responsibility

Lead end-to-end machine learning projects, from data exploration, modeling, and deployment, ensuring alignment with business objectives
Utilize traditional AI/data science methods (e.g., regression, classification, clustering) and advanced AI methods (e.g., neural networks, NLP) to address business problems and optimize processes
Implement and experiment with Generative AI models based on business needs using Prompt Engineering, Retrieval Augmented Generation (RAG) or Finetuning, using LLM's, LVM's, TTS etc
Collaborate with teams across Digital & Innovation, business stakeholders, software engineers, and product teams, to rapidly prototype and iterate on new models and solutions
Mentor and coach junior data scientists and analysts, fostering an environment of continuous learning and collaboration
Adapt quickly to new AI advancements and technologies, continuously learning and applying emerging methodologies to solve complex problems
Work closely with other teams (e.g., Cybersecurity, Cloud Engineering) to ensure the successful integration of models into production systems
Ensure models meet rigorous performance, accuracy, and efficiency standards, performing cross-validation, tuning, and statistical checks
Communicate results and insights effectively to both technical and non-technical stakeholders, delivering clear recommendations for business impact
Ensure adherence to data privacy, security policies, and governance standards across all data science initiatives

Senior technical lead - python - azure devops

Randstad

Location:
Spain , Barcelona

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 26, 2025

Expiration:
February 28, 2026

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