Manager Data Engineer (GCP + Python) Job at Vodafone (Pune)

Senior Data Engineer

Senior Data Engineer to design, develop, and optimize data platforms, pipelines,...

Location

United States , Chicago

Salary:

160555.00 - 176610.00 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Master's degree in Engineering Management, Software Engineering, Computer Science, or a related technical field
3 years of experience in data engineering
Experience building data platforms and pipelines
Experience with AWS, GCP or Azure
Experience with SQL and Python for data manipulation, transformation, and automation
Experience with Apache Airflow for workflow orchestration
Experience with data governance, data quality, data lineage and metadata management
Experience with real-time data ingestion tools including Pub/Sub, Kafka, or Spark
Experience with CI/CD pipelines for continuous deployment and delivery of data products
Experience maintaining technical records and system designs

Job Responsibility

Design, develop, and optimize data platforms, pipelines, and governance frameworks
Enhance business intelligence, analytics, and AI capabilities
Ensure accurate data flows and push data-driven decision-making across teams
Write product-grade performant code for data extraction, transformations, and loading (ETL) using SQL/Python
Manage workflows and scheduling using Apache Airflow and build custom operators for data ETL
Build, deploy and maintain both inbound and outbound data pipelines to integrate diverse data sources
Develop and manage CI/CD pipelines to support continuous deployment of data products
Utilize Google Cloud Platform (GCP) tools, including BigQuery, Composer, GCS, DataStream, and Dataflow, for building scalable data systems
Implement real-time data ingestion solutions using GCP Pub/Sub, Kafka, or Spark
Develop and expose REST APIs for sharing data across teams

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Annual incentive program

Fulltime

Senior Data Engineer

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows, BQML, Vertex AI.
Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics.
Hands-on experience working with real-time, unstructured, and synthetic data.
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar.
Expert knowledge on Python programming and SQL.
Experience with cloud platforms (AWS, GCP, Azure) and their data services
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
Familiarity with synthetic data generation and unstructured data processing

Job Responsibility

Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets
Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth.
Design, develop, deploy and support high performance data pipelines both inbound and outbound.
Model data platform by applying the business logic and building objects in the semantic layer of the data platform.
Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics
Optimize data pipelines for performance, scalability, and reliability.
Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products.
Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
Document the design and support strategy of the data pipelines
Capture, store and socialize data lineage and operational metadata

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Senior Data Engineering Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
Proficiency in Python, PySpark, SQL
Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment
Knowledge of data governance principles and best practices, including data privacy and security regulations

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
Workation. Enjoy working from inspiring locations in line with our workation policy
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. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Grow as we grow as a company. 76% of our managers are internal promotions

Data Engineer

We are looking for a seasoned Data Engineer to join our MarTech and Data Strateg...

Location

United States

Salary:

Not provided

Zion & Zion

Expiration Date

Until further notice

Requirements

4-6 years experience in a data engineering role
Significant experience and (preferably) certified in public cloud products: GCP Cloud Architect / Data Engineer or equivalent on AWS
Experience with tools like dbt
Familiar with ETL/ELT and (nice to have) reverse ETL platforms
Experience on a cloud-based or Business Intelligence project (as a technical project manager, developer or architect)
DevOps capabilities (CI/CD, Infrastructure as code, Docker, etc.)
Experience leveraging digital data in the cloud for marketing activations
Excellent verbal and written communication skills and comfortable working with both marketing and technical teams
Client-facing experience for detailed technical specifications discussions
Fluent in SQL, Python or R

Job Responsibility

Work with internal and external teams to design and implement technical architecture in order to facilitate the advanced activation of data
Interacting with 3rd party MarTech solutions (Google Analytics, Google Marketing Platform, Data Management Platforms, Tag Management Solutions, Adobe Analytics, Clouds, Customer Data Platforms, etc.)
Come up with creative solutions to integrate data from a variety of sources into platforms and data warehouses
Work with internal teams to specify data processing pipelines (database schemas, integrity constraints, delivery throughput) for use case activations and implement it in the cloud
Work with internal data science team to scope and check typical machine learning and AI project requirements
Work with data visualization teams to design and implement tables to help power complex dashboards

Engineering Manager (Python + Machine Learning)

We are seeking a hands-on Machine Learning Engineering Manager to lead cross-fun...

Location

India , Noida

Salary:

Not provided

AquSag Technologies

Expiration Date

Until further notice

Requirements

9+ yrs of strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)
Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed
2+ yrs of proven experience managing teams delivering ML/LLM models in production environments
Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure)
Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines
Excellent leadership, communication, and cross-functional collaboration skills
Bachelor’s or Master’s in Computer Science, Engineering, or related field

Job Responsibility

Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals
Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment
Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics
Provide technical direction on large-scale model training, fine-tuning, and distributed systems design
Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML
Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards
Communicate progress, risks, and results to stakeholders and executives effectively

Gcp Data Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

At least 6 years of experience as Data Architect, including min. 4 years of experience working with GCP cloud-based infrastructure & systems
Deep knowledge of Google Cloud Platform and cloud computing services
Strong experience in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as columnar databases, relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks
Knowledge of modern data transformation tools (such as DBT, Dataform)
Knowledge of at least one orchestration and scheduling tool
Programming skills (SQL, Python, other scripting)
Tools knowledge: Git, Jira, Confluence, etc.

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices, and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications
Stay updated with emerging trends and technologies in data engineering, recommending, and implementing innovative solutions as appropriate

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
“Office as an option” model. You can choose to work remotely or in the office
Workation. Enjoy working from inspiring locations in line with our workation policy
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. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly

Intermediate / Senior Software Engineer Scientific Engine (Python)

Due to our consistent growth, we are seeking to expand our Data, Software and De...

Location

France , Paris

Salary:

Not provided

Descartes Underwriting

Expiration Date

Until further notice

Requirements

Coaching or mentoring experience
Scoping and identifying solutions with business team
Handling human interactions between tech and business
Excellent communication skills, in both formal and informal settings, and in English and French
3 years or more of experiences as a software engineer or data scientist
Solid knowledge in Python
Solid engineering background: master in computer science, mathematics, physics or earth science
Experience optimizing and profiling python code
Experience in a microservices architecture
Good knowledge with Docker

Job Responsibility

Contribute directly on the code base either individually, in pairs or more
Organize REX sessions to share the knowledge received with the rest of the team
Ensure compliance to internal standards and practices
Present the progress and goals
Contribute to the technical roadmap through architecture meetings, design documents
Coach your collaborators to consistently deliver according to their roadmap
Provide expertise to help your team: Develop, optimize and update software for: Calculation of risk models
Data collection, preparation and visualization
Export of outputs adapted to users
Testing and validation of existing solutions

What we offer

Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence
Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.)
Work in a collaborative & professional environment
Be part of an international team, passionate about diversity
Join a company with a true purpose – help us help our clients be more resilient towards climate risks
A competitive salary, bonus and benefits
You can benefit from a punctual home office days

Senior Backend Engineer / Tech Lead (Data Management)

As a Senior Backend Software Engineer at Aignostics, you work hand in hand with ...

Location

Germany , Berlin

Salary:

Not provided

Aignostics

Expiration Date

Until further notice

Requirements

Bachelor and/or Master in a relevant field or extensive work experience
6+ years of software development experience in a data intensive environment
Experience leading a technical initiative ideally with cross-team impact
Strong background in software development ideally with Python
Experience with cloud providers (GCP, AWS) and their services
Experience with container orchestration (preferable Kubernetes)
Experience with database systems
Familiar with CI/CD pipelines, code reviews and other standards to keep up code quality
Driven self-starter, well-organized, excellent communication skills and a strong team player

Job Responsibility

Design and develop services and core libraries that enable our SaaS platform
Ensure reliable, high throughput access to our data for machine learning
Maintain and expand our data management infrastructure
Lead initiatives, evaluate new technologies and their integration into our current codebase
Eagerness to take ownership - from inception to completion - without losing focus on the business context
Communicate closely with our frontend and machine learning teams
Perform code reviews, considering readability, design and performance

What we offer

Learning & Development yearly budget of 1,000€ (plus 2 L&D days)
Language classes and internal development programs
Mentoring program
Flexible working hours and teleworking policy
30 paid vacations days per year
Family & pet friendly and support flexible parental leave options
Subsidized membership of your choice among public transport, sports and well-being
Social gatherings, lunches, and off-site events
Optional company pension scheme

Manager Data Engineer (GCP + Python)

Vodafone

Location:
India , Pune

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 05, 2026

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