Cloud engineer (azure databricks) Job at Randstad (Tokyo)

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

Azure Data Engineer

At LeverX, we have had the privilege of delivering over 1,500 projects for vario...

Location

Uzbekistan, Georgia

Salary:

Not provided

LeverX

Expiration Date

Until further notice

Requirements

5+ years of experience as a Data Engineer with strong expertise in Azure services (e.g., Azure Data Factory, Azure SQL Database, Azure Synapse, Microsoft Fabric, and Azure Cosmos DB
Advanced SQL skills, including complex query development, optimization, and troubleshooting
Strong knowledge of indexing, partitioning, and query execution plans to ensure scalability and performance
Proven expertise in database modeling, schema design, and normalization/denormalization strategies
Ability to design and optimize data architectures to support both transactional and analytical workloads
Proficiency in at least one programming language such as Python, C#, or Scala
Strong background in cloud-based data storage and processing (e.g., Azure Data Lake, Databricks, or equivalent) and data warehouse platforms (e.g., Snowflake)
English B2+

Job Responsibility

Design, develop, and maintain efficient and scalable data architectures and workflows
Build and optimize SQL-based solutions for data transformation, extraction, and loading (ETL) processes
Collaborate closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective solutions
Manage and optimize data storage platforms, including databases, data lakes, and data warehouses
Troubleshoot and resolve data-related issues, ensuring accuracy, integrity, and performance across all systems

What we offer

Projects in different domains: healthcare, manufacturing, e-commerce, fintech, etc
Projects for every taste: Startup products, enterprise solutions, research & development initiatives, and projects at the crossroads of SAP and the latest web technologies
Global clients based in Europe and the US, including Fortune 500 companies
Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
Healthy work atmosphere: On average, our employees stay with the company for 4+ years
Market-based compensation and regular performance reviews
Internal expert communities and courses
Perks to support your growth and well-being

Senior Databricks Data Engineer

To develop, implement, and optimize complex Data Warehouse (DWH) and Data Lakeho...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven, expert-level experience with the entire Databricks ecosystem (Workspace, Cluster Management, Notebooks, Databricks SQL)
In-depth knowledge of Spark architecture (RDD, DataFrames, Spark SQL) and advanced optimization techniques
Expertise in implementing and managing Delta Lake (ACID properties, Time Travel, Merge, Optimize, Vacuum)
Advanced/expert-level proficiency in Python (with PySpark) and/or Scala (with Spark)
Advanced/expert-level skills in SQL and Data Modeling (Dimensional, 3NF, Data Vault)
Solid experience with a major Cloud platform (AWS, Azure, or GCP), especially with storage services (S3, ADLS Gen2, GCS) and networking.

Job Responsibility

Design and implement robust, scalable, and high-performance ETL/ELT data pipelines using PySpark/Scala and Databricks SQL on the Databricks platform
Expertise in implementing and optimizing the Medallion architecture (Bronze, Silver, Gold) using Delta Lake to ensure data quality, consistency, and historical tracking
Efficient implementation of the Lakehouse architecture on Databricks, combining best practices from DWH and Data Lake
Optimize Databricks clusters, Spark operations, and Delta tables to reduce latency and computational costs
Design and implement real-time/near-real-time data processing solutions using Spark Structured Streaming and Delta Live Tables
Implement and manage Unity Catalog for centralized data governance, data security and data lineage
Define and implement data quality standards and rules to maintain data integrity
Develop and manage complex workflows using Databricks Workflows or external tools to automate pipelines
Integrate Databricks pipelines into CI/CD processes
Work closely with Data Scientists, Analysts, and Architects to understand business requirements and deliver optimal technical solutions

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical insurance
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings.

Fulltime

Azure Data Engineer

Experience: 3-6+ Years Location: Noida/Gurugram/Remote Skills: PYTHON, PYSPARK...

Location

India , Noida; Gurugram

Salary:

Not provided

NexGen Tech Solutions

Expiration Date

Until further notice

Requirements

3-6+ Years experience
PYTHON
PYSPARK
SQL
AZURE DATA FACTORY
DATABRICKS
DATA LAKE
AZURE FUNCTION
DATA PIPELINE

Job Responsibility

Design and engineer the cloud/big data solutions, develop a modern data analytics lake
Develop & maintain data pipelines for batch & stream processing using modern cloud or open source ETL/ELT tools
Liaise with business team and technical leads, gather requirements, identify data sources, identify data quality issues, design target data structures, develop pipelines and data processing routines, perform unit testing and support UAT
Implement continuous integration, continuous deployment, DevOps practice
Create, document, and manage data guidelines, governance, and lineage metrics
Technically lead, design and develop distributed, high-throughput, low-latency, highly available data processing and data systems
Build monitoring tools for server-side components
work cohesively in India-wide distributed team
Identify, design, and implement internal process improvements and tools to automate data processing and ensure data integrity while meeting data security standards
Build tools for better discovery and consumption of data for various consumption models in the organization – DataMarts, Warehouses, APIs, Ad Hoc Data explorations

Fulltime

Senior Databricks Data Engineer

To develop, implement, and optimize complex Data Warehouse (DWH) and Data Lakeho...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven, expert-level experience with the entire Databricks ecosystem (Workspace, Cluster Management, Notebooks, Databricks SQL)
in-depth knowledge of Spark architecture (RDD, DataFrames, Spark SQL) and advanced optimization techniques
expertise in implementing and managing Delta Lake (ACID properties, Time Travel, Merge, Optimize, Vacuum)
advanced/expert-level proficiency in Python (with PySpark) and/or Scala (with Spark)
advanced/expert-level skills in SQL and Data Modeling (Dimensional, 3NF, Data Vault)
solid experience with a major Cloud platform (AWS, Azure, or GCP), especially with storage services (S3, ADLS Gen2, GCS) and networking
bachelor’s degree in Computer Science, Engineering, Mathematics, or a relevant technical field
minimum of 5+ years of experience in Data Engineering, with at least 3+ years of experience working with Databricks and Spark at scale.

Job Responsibility

Design and implement robust, scalable, and high-performance ETL/ELT data pipelines using PySpark/Scala and Databricks SQL on the Databricks platform
expertise in implementing and optimizing the Medallion architecture (Bronze, Silver, Gold) using Delta Lake
design and implement real-time/near-real-time data processing solutions using Spark Structured Streaming and Delta Live Tables (DLT)
implement Unity Catalog for centralized data governance, fine-grained security (row/column-level security), and data lineage
develop and manage complex workflows using Databricks Workflows (Jobs) or external tools (Azure Data Factory, Airflow) to automate pipelines
integrate Databricks pipelines into CI/CD processes using tools like Git, Databricks Repos, and Bundles
work closely with Data Scientists, Analysts, and Architects to deliver optimal technical solutions
provide technical guidance and mentorship to junior developers.

What we offer

Full access to foreign language learning platform
personalized access to tech learning platforms
tailored workshops and trainings to sustain your growth
medical insurance
meal tickets
monthly budget to allocate on flexible benefit platform
access to 7 Card services
wellbeing activities and gatherings.

Fulltime

Azure Data Architect

We are offering an exciting opportunity for an Azure Data Architect within the O...

Location

United States , Houston

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Comprehensive understanding of Azure products and Data platforms such as Databricks
Strong collaboration skills with Enterprise Architects, Cloud Engineering, Business Architects, and Product teams
Proficient in Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake
Experienced in scripting languages like Python, Bash, or Powershell
Knowledge of cloud security principles and best practices
Familiarity with Azure Resource Manager, Virtual Networks, Azure Blob Storage, Azure Automation, Azure Active Directory, and Azure Site Recovery

Job Responsibility

Collaborate with multiple teams to design and implement solutions
Ensure solutions are optimized for performance, cost, and compliance
Operate hands-on with Azure products and Data platforms
Develop and deploy Cloud Native Applications using Azure PaaS Capabilities
Manage cloud deployment, technical and security architecture, database architecture, virtualization, software design, networking, DevOps, and DevSecOps
Employ Azure data services
Utilize scripting languages to automate routine tasks
Implement IAM, Authentication and Authorization of applications
Utilize knowledge of cloud security principles and best practices
Handle Azure Resource Manager, Virtual Networks, Azure Blob Storage, Azure Automation, Azure Active Directory, and Azure Site Recovery

What we offer

Medical, vision, dental, life and disability insurance
Eligibility to enroll in company 401(k) plan

Fulltime

Databricks Engineer

We are seeking a Databricks Engineer to design, build, and operate a Data & AI p...

Location

United States , Leesburg

Salary:

Not provided

WINTrio

Expiration Date

Until further notice

Requirements

Hands-on experience with Databricks, Delta Lake, and Apache Spark
Deep understanding of ELT pipeline development, orchestration, and monitoring in cloud-native environments
Experience implementing Medallion Architecture (Bronze/Silver/Gold) and working with data versioning and schema enforcement in enterprise grade environments
Strong proficiency in SQL, Python, or Scala for data transformations and workflow logic
Proven experience integrating enterprise platforms (e.g., PeopleSoft, Salesforce, D2L) into centralized data platforms
Familiarity with data governance, lineage tracking, and metadata management tools

Job Responsibility

Data & AI Platform Engineering (Databricks-Centric): Design, implement, and optimize end-to-end data pipelines on Databricks, following the Medallion Architecture principles
Build robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw (bronze) data into trusted curated (silver) and analytics-ready (gold) data layers
Operationalize Databricks Workflows for orchestration, dependency management, and pipeline automation
Apply schema evolution and data versioning to support agile data development
Platform Integration & Data Ingestion: Connect and ingest data from enterprise systems such as PeopleSoft, D2L, and Salesforce using APIs, JDBC, or other integration frameworks
Implement connectors and ingestion frameworks that accommodate structured, semi-structured, and unstructured data
Design standardized data ingestion processes with automated error handling, retries, and alerting
Data Quality, Monitoring, and Governance: Develop data quality checks, validation rules, and anomaly detection mechanisms to ensure data integrity across all layers
Integrate monitoring and observability tools (e.g., Databricks metrics, Grafana) to track ETL performance, latency, and failures
Implement Unity Catalog or equivalent tools for centralized metadata management, data lineage, and governance policy enforcement

Senior Sales Engineer

The Senior Sales Engineer role at Infinite Lambda is designed for a technical le...

Location

Salary:

Not provided

Infinite Lambda

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Engineering, Computer Science, or a related field is required
an advanced degree is preferred
A proven track record in sales engineering or technical sales, preferably within the data, cloud, or technology sectors, with significant leadership experience
experience in data engineering, analytics engineering and data scientist roles and related technologies, such as AWS, Azure, Snowflake, Redshift, Databricks, dbt and machine learning frameworks is essential
Stream processing and batch data warehouse processing, event-driven architecture, micro-services, DataOps and MLOps practices
Experience in international markets or expanding into new regions is a plus, particularly knowledge of South American markets and business practices, which is desirable for this role
Exceptional verbal and written communication skills, with the ability to translate complex technical concepts into business benefits for clients and stakeholders
Experience in leading sales engineering teams or functions, with a strategic mindset to influence company direction and market expansion
Strong ability to work effectively across different departments and levels, fostering collaboration with Product & Services, Customer Success, and Sales & Partnerships.

Job Responsibility

Initiate and manage engagements with prospective clients from the early stages of the sales process, ensuring a strong start to the sales cycle
Understand and document client needs, articulating how Infinite Lambda’s products and services can address these needs effectively
Collaborate with the sales team to drive a collaborative approach, creating compelling proposals that align with client expectations
Conduct and facilitate technical deep-dive workshops with prospective clients to showcase capabilities and gather insights, using workshop outputs to strengthen proposals
Identify relevant Infinite Lambda products and services, working with the sales team to position them strategically for each opportunity
Assist both the sales and delivery teams in estimating project scope, effort, and resources, producing realistic and commercially viable account strategies. This includes defining initial team composition, tools to utilise, and a high-level roadmap
Work with departments such as Product & Services, Customer Success, and Sales & Partnerships to clearly define roles and responsibilities, ensuring seamless collaboration across functions
Collaborate with Product & Services to stay informed about existing offerings and influence product roadmaps, helping design new products and services based on client feedback and market trends
Enhance the positioning of Infinite Lambda’s products and services during the sales process and beyond, improving how value is communicated to clients
Liaise with senior leadership (CEO, CTO, CPO, COO, CSO) at Infinite Lambda to formulate a clear strategy for combining data and cloud expertise into a holistic value proposition, strengthening the company’s market positioning

What we offer

private health insurance
work-from-home budget
unlimited paid holiday
wellness benefits
dedicated learning and development time
access to top-notch learning portals
coaching opportunities.

Cloud engineer (azure databricks)

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:
February 27, 2027

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