Ai data engineer Job at Randstad (Tokyo)

Data & AI Impact Consultant Engineer

Data Consultant role in Data & AI Business Unit, designing and building modern d...

Location

Belgium

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

3+ years of experience in data engineering or analytics projects
Good knowledge of Dutch and English (French is an asset)
Familiarity with Azure stack (Data Factory, Synapse, Storage, Purview, Functions) and/or Databricks
Structural and flexible thinking
Interest in AI and its role in modern data products (prompt engineering, GenAI, monitoring, automation)
Ability to create business impact and understand outcomes
Team-oriented mindset

Job Responsibility

Design and build modern data platforms (Azure, Databricks, Data Fabric) with focus on reusability and AI-readiness
Deliver value today while preparing for tomorrow
Help colleagues grow through coaching, feedback, or knowledge sharing
Provide consultancy with solution-oriented approach
Take initiative beyond projects to help build Inetum

What we offer

Company car
Fuel/charging card
Group insurance
Hospitalization coverage
32 days of annual leave
Hybrid working options
Satellite offices
Training and certification programs

Fulltime

Data & AI Impact Consultant Engineer

As a Data Consultant, you are a cornerstone of our Data & AI Business Unit – tec...

Location

Belgium

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

3+ years of experience in data engineering or analytics projects
Good knowledge of Dutch and English (French is an asset)
Familiar with Azure stack (Data Factory, Synapse, Storage, Purview, Functions) and/or Databricks
Structural and flexible thinking
Interest in AI and its role in modern data products (prompt engineering, GenAI, monitoring, automation)
Ability to create business impact and understand outcomes
Team-oriented mindset

Job Responsibility

Design and build modern data platforms (Azure, Databricks, Data Fabric) with focus on reusability and AI-readiness
Deliver customer- and future-oriented value
Help colleagues grow through coaching, feedback, or knowledge sharing
Provide consultancy with solution-oriented approach
Take initiative in client development, talent growth, or community engagement

What we offer

Company car
Fuel/charging card
Group insurance
Hospitalization coverage
32 days of annual leave
Hybrid working options
Satellite offices
Continuous learning & development
Training and certification programs

Fulltime

Principal Consulting AI / Data Engineer

As a Principal Consulting AI / Data Engineer, you will design, build, and optimi...

Location

Australia , Sydney

Salary:

Not provided

DyFlex Solutions

Expiration Date

Until further notice

Requirements

Proven expertise in delivering enterprise-grade data engineering and AI solutions in production environments
Strong proficiency in Python and SQL, plus experience with Spark, Airflow, dbt, Kafka, or Flink
Experience with cloud platforms (AWS, Azure, or GCP) and Databricks
Ability to confidently communicate and present at C-suite level, simplifying technical concepts into business impact
Track record of engaging senior executives and influencing strategic decisions
Strong consulting and stakeholder management skills with client-facing experience
Background in MLOps, ML pipelines, or AI solution delivery highly regarded
Degree in Computer Science, Engineering, Data Science, Mathematics, or a related field

Job Responsibility

Design, build, and maintain scalable data and AI solutions using Databricks, cloud platforms, and modern frameworks
Lead solution architecture discussions with clients, ensuring alignment of technical delivery with business strategy
Present to and influence executive-level stakeholders, including boards, C-suite, and senior directors
Translate highly technical solutions into clear business value propositions for non-technical audiences
Mentor and guide teams of engineers and consultants to deliver high-quality solutions
Champion best practices across data engineering, MLOps, and cloud delivery
Build DyFlex’s reputation as a trusted partner in Data & AI through thought leadership and client advocacy

What we offer

Work with SAP’s latest technologies on cloud as S/4HANA, BTP and Joule, plus Databricks, ML/AI tools and cloud platforms
A flexible and supportive work environment including work from home
Competitive remuneration and benefits including novated lease, birthday leave, salary packaging, wellbeing programme, additional purchased leave, and company-provided laptop
Comprehensive training budget and paid certifications (Databricks, SAP, cloud platforms)
Structured career advancement pathways with opportunities to lead large-scale client programs
Exposure to diverse industries and client environments, including executive-level engagement

Fulltime

Consulting AI / Data Engineer

As a Consulting AI / Data Engineer, you will design, build, and optimise enterpr...

Location

Australia , Sydney

Salary:

Not provided

DyFlex Solutions

Expiration Date

Until further notice

Requirements

Hands-on data engineering experience in production environments
Strong proficiency in Python and SQL
Experience with at least one additional language (e.g. Java, Typescript/Javascript)
Experience with modern frameworks such as Apache Spark, Airflow, dbt, Kafka, or Flink
Background in building ML pipelines, MLOps practices, or feature stores is highly valued
Proven expertise in relational databases, data modelling, and query optimisation
Demonstrated ability to solve complex technical problems independently
Excellent communication skills with ability to engage clients and stakeholders
Degree in Computer Science, Engineering, Data Science, Mathematics, or a related field

Job Responsibility

Build and maintain scalable data pipelines for ingesting, transforming, and delivering data
Manage and optimise databases, warehouses, and cloud storage solutions
Implement data quality frameworks and testing processes to ensure reliable systems
Design and deliver cloud-based solutions (AWS, Azure, or GCP)
Take technical ownership of project components and lead small development teams
Engage directly with clients, translating business requirements into technical solutions
Champion best practices including version control, CI/CD, and infrastructure as code

What we offer

Work with SAP’s latest technologies on cloud as S/4HANA, BTP and Joule, plus Databricks, ML/AI tools and cloud platforms
A flexible and supportive work environment including work from home
Competitive remuneration and benefits including novated lease, birthday leave, remote working, additional purchased leave, and company-provided laptop
Competitive remuneration and benefits including novated lease, birthday leave, salary packaging, wellbeing programme, additional purchased leave, and company-provided laptop
Comprehensive training budget and paid certifications (Databricks, SAP, cloud platforms)
Structured career advancement pathways with mentoring from senior engineers
Exposure to diverse industries and client environments

Fulltime

Data Engineer with Generative AI Expertise

We are looking for a skilled Data Engineer with expertise in Generative AI to jo...

Location

India , Jaipur

Salary:

Not provided

InfoObjects

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields
2-6 years of hands-on experience in Data Engineering
Proficiency in Generative AI frameworks (e.g., GPT, DALL-E, Stable Diffusion)
Strong programming skills in Python, SQL, and familiarity with Java or Scala
Experience with data tools and platforms such as Apache Spark, Hadoop, or similar
Knowledge of cloud platforms like AWS, Azure, or GCP
Familiarity with MLOps practices and AI model deployment
Excellent problem-solving and communication skills

Job Responsibility

Design, develop, and maintain robust data pipelines and workflows
Integrate Generative AI models into existing data systems to enhance functionality
Collaborate with cross-functional teams to understand business needs and translate them into scalable data and AI solutions
Optimize data storage, processing, and retrieval systems for performance and scalability
Ensure data security, quality, and governance across all processes
Stay updated with the latest advancements in Generative AI and data engineering practices

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

AI Research Engineer, Data Infrastructure

As a Research Engineer in Infrastructure, you will design and implement a robust...

Location

United States , Palo Alto

Salary:

180000.00 - 250000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Strong experience in building data pipelines and ETL systems
Ability to design and implement systems for data collection and management from robotic fleets
Familiarity with architectures that span on-robot components, on-premise clusters, and cloud infrastructure
Experience with data labeling tools or building dataset visualization and annotation tooling
Proficiency in creating or applying machine learning models for dataset organization and automated labeling

Job Responsibility

Optimize operational efficiency of data collection across the NEO robot fleet
Design intelligent triggers to determine when and what data should be uploaded from the robots
Automate ETL pipelines to make fleet-wide data easily queryable and training-ready
Collaborate with external dataset providers to prepare diverse multi-modal pre-training datasets
Build frontend tools for visualizing and automating the labeling of large datasets
Develop machine learning models for automatic dataset labeling and organization

What we offer

Equity
Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays

Fulltime

Senior AI Data Engineer

We are looking for a Senior AI Data Engineer to join an exciting project for our...

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Data Science, Artificial Intelligence, or a related field
Several years of experience in AI and Machine Learning development, preferably in Customer Care solutions
Strong proficiency in Python and NLP frameworks
Hands-on experience with Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Bot Services)
Solid understanding of cloud architectures and microservices on Azure
Experience with CI/CD pipelines and MLOps
Excellent leadership and communication skills
Analytical mindset with strong problem-solving abilities
Polish and English at a minimum B2 level.

Job Responsibility

Lead the development and implementation of AI-powered features for a Customer Care platform
Design and deploy Machine Learning and NLP models to automate customer inquiries
Collaborate with DevOps and cloud architects to ensure a high-performance, scalable, and secure Azure-based architecture
Optimize AI models to enhance customer experience
Integrate Conversational AI, chatbots, and language models into the platform
Evaluate emerging technologies and best practices in Artificial Intelligence
Mentor and guide a team of AI/ML developers.

What we offer

Flexible working hours
Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities
A cafeteria system that allows employees to personalize benefits by choosing from a variety of options
Generous referral bonuses, offering up to PLN6,000 for referring specialists
Additional revenue sharing opportunities for initiating partnerships with new clients
Ongoing guidance from a dedicated Team Manager for each employee
Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs
Dedicated team-building budget for online and on-site team events
Opportunities to participate in charitable initiatives and local sports programs
A supportive and inclusive work culture with an emphasis on diversity and mutual respect.

Fulltime

Ai data engineer

Randstad

Location:
Japan , Tokyo

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 12, 2026

Expiration:
August 25, 2026

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Job Posted:April 12, 2026

Expiration:August 25, 2026

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Job Posted:
April 12, 2026

Expiration:
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