Data Platform Engineer (DWH / Data Management) Job at Randstad (東京23区,神奈川)

Senior Data Engineer

RemoteStar is looking to hire a Remote Senior Data Engineer (ETL Data Modeling) ...

Location

India , Bengaluru

Salary:

Not provided

Remotestar

Expiration Date

Until further notice

Requirements

Must have total 5+ yrs. of IT experience and 3+ years' experience in data Integration, ETL/ETL development, and database design or Data Warehouse design
Broad expertise and experience with distributed systems, streaming systems, and data engineering tools, such as Kubernetes, Kafka, Airflow, Dagster, etc.
Experience in data transformation, ETL/ELT tool and technologies such as AWS Glue, DBTetc for transforming structured/semi structured and unstructured datasets
Experience in ingesting and integrating data from APIs/JDBC/CDC sources
Deep knowledge of Python, SQL, relational/ non-relational database design, and master data strategies
Experience defining, architecting, and rolling out data products, including ownership of data products through their entire lifecycle
Deep understanding of Star and Snowflake dimensional modeling
Experience with relational databases, including SQL queries, database definition, and schema design
Experience with data warehouses, distributed data platforms, and data lakes
Strong proficiency in SQL and at least one programming language (e.g., Python,Scala, JS)

Job Responsibility

Implementing ETL/ELT pipelines within and outside of a data warehouse using Python, Pyspark and Snowflakes Snow SQL
Support Redshift DWH to Snowflake Migration
Design, implement, and support data warehouse/data lake infrastructure using AWS big data stack, Python, Redshift, Snowflake, Glue/lake formation, EMR/Spark/Scala etc.
Work with data analysts to scale value-creating capabilities, including data integrations and transformations, model features, and statistical and machine learning models
Work with Product Managers, Finance, Service Engineering Teams and Sales Teams on a day-to-day basis to support their new analytics requirements
Implement data quality and data governance measures and execute data profiling and data validation procedures
Implement and uphold data governance practices to maintain data quality, integrity, and security throughout the data lifecycle
Leverage open-source technologies to build robust and cost-effective data solutions
Develop and maintain streaming pipelines using technologies like Apache Kafka etc.

What we offer

Dynamic working environment in an extremely fast-growing company
Work in an international environment
Work in a pleasant environment with very little hierarchy
Intellectually challenging, play a massive role in client’s success and scalability
Flexible working hours

Fulltime

Senior Data Engineer (Contractor)

As a Senior Data Engineer, you’ll design, build, and operate scalable, reliable ...

Location

Poland , Warsaw

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
6+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets
Strong Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies
Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment
Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts
Experience building reliable incremental data ingestion pipelines from DBs and APIs.
Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices
Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Job Responsibility

Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
Develop and evolve scalable data architecture to meet business and performance requirements
Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics
Implement best practices for data quality, testing, monitoring, lineage, and reliability
Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)
Ensure secure data handling and compliance with relevant data protection standards and internal policies
Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices
Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

What we offer

Vibrant international team operating in hi-tech environment
Excellent compensation package
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Refer a friend bonus as we know that working with friends is fun
Teambuilding, social activities and networks on a multi-national level

Fulltime

Senior Data Engineer (Contractor)

As a Senior Data Engineer, you’ll design, build, and operate scalable, reliable ...

Location

Romania , Bucharest

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
6+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets
Strong Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies
Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment
Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts
Experience building reliable incremental data ingestion pipelines from DBs and APIs
Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices
Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Job Responsibility

Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
Develop and evolve scalable data architecture to meet business and performance requirements
Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics
Implement best practices for data quality, testing, monitoring, lineage, and reliability
Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)
Ensure secure data handling and compliance with relevant data protection standards and internal policies
Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices
Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

What we offer

Vibrant international team operating in hi-tech environment
Excellent compensation package
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Refer a friend bonus as we know that working with friends is fun
Teambuilding, social activities and networks on a multi-national level

Fulltime

Data Engineer II

MU-Data Engineers II located in Costa Mesa, CA will provide direct data engineer...

Location

United States , Costa Mesa

Salary:

128676.72 - 130000.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor’s degree (or foreign equivalent) in computer science, any engineering, data science or closely related field
2 years of relevant experience
Advanced level in SQL and Python for data engineering and backend development
Understanding of popular code development approaches: Test-driven development & Continuous Integration/Continuous Deployment (CI/CD)
Experienced working with AWS services (Lambda, S3, Glue, Redshift etc.) and Cloud Data Warehouse
Build processes supporting data transformation, data structures, metadata, dependency, and workload management
Define digital data collection methods and implementations to DWH and customer management platforms
Provide guidance to website tagging, digital data integration and collections
Experienced with QA testing process to verify data is collected & rendered as expected
Prior working knowledge of Braze or other Customer Management Platforms

Job Responsibility

Work collaboratively with cross-functional teams to determine data transformation needs, establish data collection requirements, and deploy & maintain accurate data to ensure metrics & dimensions are addressed for analytics/reporting requirements
Participate in daily/weekly SCRUM ceremonies
Transform required data conditions into performance code logic
Develop high-performance code in SQL and Python
Develop, automate, and enhance ELT processes for continuous data flow
Onboard domain data as custom attributes and events to external systems such as Braze, Customer Journey
Maintain data daily updates and core logic integrity
Provide support to troubleshoot data anomalies and apply resolutions
Create, modify, and deploy code to production via AWS resources including Lambda, S3, Glue, Redshift, etc.
Partner with stakeholders to support the implementation and development of data requirements. Troubleshoot data anomalies and provide applicable solutions

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave

Fulltime

Senior Data Engineer

As a Senior Data Engineer, you’ll design, build, and operate scalable, reliable ...

Location

Bulgaria , Sofia; Varna

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
6+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets
Strong Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies
Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment
Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts
Experience building reliable incremental data ingestion pipelines from DBs and APIs
Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices
Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Job Responsibility

Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
Develop and evolve scalable data architecture to meet business and performance requirements
Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics
Implement best practices for data quality, testing, monitoring, lineage, and reliability
Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)
Ensure secure data handling and compliance with relevant data protection standards and internal policies
Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices
Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

What we offer

Vibrant international team operating in hi-tech environment
Annual salary reviews, promotions and performance bonuses
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Annual individual training and development budget
Refer a friend bonus
Teambuilding, social activities and networks on a multi-national level
Excellent compensation package
25 days annual paid leave (+1 day per year up to 30)
Full “Luxury” package health insurance including dental care and optical glasses

Fulltime

Azure Data Engineer- Senior Consultant

Location

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

A Bachelor's or master's degree in computer science, Information Systems, or a related field is typically required. Additional certifications in cloud are advantageous
Minimum of 9+ years of experience in data engineering or a related field
Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL, Pyspark
Familiarity with Azure cloud platform viz. Azure Databricks, Data Factory, Data Lake etc., and experience in implementing data solutions in a cloud environment
Expertise in working with various data tools and technologies, such as ETL frameworks, data pipelines, and data warehousing solutions
In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration
Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues
Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and senior management
Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies

Job Responsibility

Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools, technologies, and methodologies
Stay updated with the latest advancements in data engineering and ensure the team follows best practices and industry standards
Collaborate with stakeholders to understand project requirements, define scope, and create project plans
Support project managers to ensure that projects are executed effectively, meeting timelines, budgets, and quality standards
Monitor progress, identify risks, and implement mitigation strategies
Oversee the design and architecture of data solutions, collaborating with data architects and other stakeholders
Ensure data solutions are scalable, efficient, and aligned with business requirements
Provide guidance in areas such as data modeling, database design, and data integration
Align coding standards, conduct code reviews to ensure proper code quality level
Identify and introduce quality assurance processes for data pipelines and workflows

What we offer

Stable employment
100% remote
Flexibility regarding working hours
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
Grow as we grow as a company
A diverse, inclusive, and values-driven community

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.

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

Devops Engineering Lead

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

8+ years of experience supporting Ab Initio, Teradata and/or Oracle platforms in production environments
Strong hands-on experience with Unix and SQL for troubleshooting and operational support
Practical experience managing and supporting workloads on Google Cloud Platform (GCP)
At least 2 years of experience in a leadership or team-handling role
Good understanding of deployment support, batch operations, and service availability management
Exposure to ITIL practices, including Incident and Service Request Management
Strong analytical, diagnostic, and problem-solving skills
Clear and effective verbal and written communication skills in English

Job Responsibility

Ensure the smooth daily health and availability of ETL batch processing using Ab Initio and Teradata Vantage on GCP (L2 production support)
Troubleshoot and resolve issues in DWH and BI production ETL jobs within agreed SLAs
Provide deployment support for new and enhanced applications across the data platform
Coordinate closely with project managers, development, testing, and cross-functional teams to support delivery and operations
Manage incidents and service requests by updating Remedy tickets in line with defined processes and SLAs
Provide on-call support for daily batch jobs during night and weekend windows, as required
Drive automation, innovation, and continuous improvement across existing operational processes
Identify and implement performance improvements for ETL jobs and platform components
Work on Google Cloud initiatives including proof-of-concepts, IAM management, virtual machines, and Kubernetes
Demonstrate strong leadership by guiding team members and ensuring operational standards and KPIs are consistently met

What we offer

Opportunity to lead operations for enterprise-scale Data & Analytics platforms on Google Cloud
Exposure to modern cloud technologies alongside established data engineering tools
A role with strong ownership over production stability, performance, and service quality
Collaboration with global teams across Data, Engineering, and Operations

Fulltime

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Data Platform Engineer (DWH / Data Management)

Job Description

Job Responsibility

Requirements

What we offer

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