Senior Data Engineer (Data Warehouse) Job at Plaud (Singapore)

Senior Data Engineer

Join a leading global live-entertainment discovery tech platform. As a Senior Da...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

You have a strong background in at least two of: data engineering, business intelligence, software engineering
You are an expert in Python3 and its data ecosystem
You have proven experience working with SQL languages
You have worked with complex data pipelines
You are a collaborative team player with strong communication skills
You are proactive, driven, and bring positive energy
You possess strong analytical and problem-solving abilities backed by solid software engineering skills
You are proficient in business English.

Job Responsibility

Own critical data pipelines of our data warehouse
Ideate and implement tools and processes to exploit data
Work closely with other business units to create structured and scalable solutions
Contribute to the development of a complex data and software ecosystem
Build trusted data assets
Build automatizations to create business opportunities
Design, build and support modern data infrastructure.

What we offer

Attractive compensation package with potential bonus
Stock options
40% discount on all Fever events and experiences
Home office friendly
Responsibility from day one
Great work environment with a young international team
Health insurance
Flexible remuneration with 100% tax exemption through Cobee
English lessons
Gympass membership

Fulltime

Senior Microsoft Stack Data Engineer

Hands-On Technical SENIOR Microsoft Stack Data Engineer / On Prem to Cloud Senio...

Location

United States , West Des Moines

Salary:

155000.00 USD / Year

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of DATA WAREHOUSE EXPERIENCE / Data Lake experience
Advanced SQL Server
Strong SQL experience, working with structured and unstructured data
Strong in SSIS ETL
Proficiency in SQL and SQL Queries
Experience with SQL Server and SQL Server
Knowledge of Data Warehousing and Data Warehousing
Data Warehouse experience: Star Schema and Fact & Dimension data warehouse structure
Experience with Azure Data Lake and Data lakes
Proficiency in ETL / SSIS and SSAS

Job Responsibility

Modernize, Build out a Data Warehouse, and Lead & Build out a Data Lake in the CLOUD
REBUILD an OnPrem data warehouse working with disparate data to structure the data for consumable reporting
ALL ASPECTS OF Data Engineering
Technical Leader of the team

What we offer

Bonus
2 1/2 day weekends
Medical, vision, dental, and life and disability insurance
401(k) plan

Fulltime

Senior Data Engineer

We are looking for a Senior Data Engineer (SDE 3) to build scalable, high-perfor...

Location

India , Mumbai

Salary:

Not provided

Cogoport

Expiration Date

Until further notice

Requirements

6+ years of experience in data engineering, working with large-scale distributed systems
Strong proficiency in Python, Java, or Scala for data processing
Expertise in SQL and NoSQL databases (PostgreSQL, Cassandra, Snowflake, Apache Hive, Redshift)
Experience with big data processing frameworks (Apache Spark, Flink, Hadoop)
Hands-on experience with real-time data streaming (Kafka, Kinesis, Pulsar) for logistics use cases
Deep knowledge of AWS/GCP/Azure cloud data services like S3, Glue, EMR, Databricks, or equivalent
Familiarity with Airflow, Prefect, or Dagster for workflow orchestration
Strong understanding of logistics and supply chain data structures, including freight pricing models, carrier APIs, and shipment tracking systems

Job Responsibility

Design and develop real-time and batch ETL/ELT pipelines for structured and unstructured logistics data (freight rates, shipping schedules, tracking events, etc.)
Optimize data ingestion, transformation, and storage for high availability and cost efficiency
Ensure seamless integration of data from global trade platforms, carrier APIs, and operational databases
Architect scalable, cloud-native data platforms using AWS (S3, Glue, EMR, Redshift), GCP (BigQuery, Dataflow), or Azure
Build and manage data lakes, warehouses, and real-time processing frameworks to support analytics, machine learning, and reporting needs
Optimize distributed databases (Snowflake, Redshift, BigQuery, Apache Hive) for logistics analytics
Develop streaming data solutions using Apache Kafka, Pulsar, or Kinesis to power real-time shipment tracking, anomaly detection, and dynamic pricing
Enable AI-driven freight rate predictions, demand forecasting, and shipment delay analytics
Improve customer experience by providing real-time visibility into supply chain disruptions and delivery timeline
Ensure high availability, fault tolerance, and data security compliance (GDPR, CCPA) across the platform

What we offer

Work with some of the brightest minds in the industry
Entrepreneurial culture fostering innovation, impact, and career growth
Opportunity to work on real-world logistics challenges
Collaborate with cross-functional teams across data science, engineering, and product
Be part of a fast-growing company scaling next-gen logistics platforms using advanced data engineering and AI

Fulltime

Senior Data Engineer

Senior Data Engineer role driving Circle K's cloud-first strategy to unlock the ...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Engineering, Computer Science or related discipline
Master's Degree preferred
5+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment
5+ years of experience with setting up and operating data pipelines using Python or SQL
5+ years of advanced SQL Programming: PL/SQL, T-SQL
5+ years of experience working with Snowflake, including Snowflake SQL, data modeling, and performance optimization
Strong hands-on experience with cloud data platforms such as Azure Synapse and Snowflake for building data pipelines and analytics workloads
5+ years of strong and extensive hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data
5+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions
5+ years of experience in defining and enabling data quality standards for auditing, and monitoring

Job Responsibility

Collaborate with business stakeholders and other technical team members to acquire and migrate data sources
Determine solutions that are best suited to develop a pipeline for a particular data source
Develop data flow pipelines to extract, transform, and load data from various data sources
Efficient in ETL/ELT development using Azure cloud services and Snowflake
Work with modern data platforms including Snowflake to develop, test, and operationalize data pipelines
Provide clear documentation for delivered solutions and processes
Identify and implement internal process improvements for data management
Stay current with and adopt new tools and applications
Build cross-platform data strategy to aggregate multiple sources
Proactive in stakeholder communication, mentor/guide junior resources

Fulltime

Senior Data Engineer

We're seeking an experienced Senior Data Engineer to help shape the future of he...

Location

Germany , Berlin

Salary:

Not provided

Audibene GmbH

Expiration Date

Until further notice

Requirements

5+ years of hands on experience with complex ETL processes, data modeling, and large scale data systems
Production experience with modern cloud data warehouses (Snowflake, BigQuery, Redshift) on AWS, GCP, or Azure
Proficiency in building and optimizing data transformations and pipelines in python
Experience with columnar storage, MPP databases, and distributed data processing architectures
Ability to translate complex technical concepts for diverse audiences, from engineers to business stakeholders
Experience with semantic layers, data catalogs, or metadata management systems
Familiarity with modern analytical databases like Snowflake, BigQuery, ClickHouse, DuckDB, or similar systems
Experience with streaming technologies like Kafka, Pulsar, Redpanda, or Kinesis

Job Responsibility

Design and build robust, high performance data pipelines using our modern stack (Airflow, Snowflake, Pulsar, Kubernetes) that feed directly into our semantic layer and data catalog
Create data products optimized for consumption by AI agents and LLMs where data quality, context, and semantic richness are crucial
Structure and transform data to be inherently machine readable, with rich metadata and clear lineage that powers intelligent applications
Take responsibility from raw data ingestion through to semantic modeling, ensuring data is not just accurate but contextually rich and agent ready
Champion best practices in building LLM consumable data products, optimize for both human and machine consumers, and help evolve our dbt transformation layer
Built data products for AI/LLM consumption, not just analytics dashboards

What we offer

Work 4 days a week from our office (Berlin/Mainz) with a passionate team, and 1 day a week from home
Regularly join on- and offline team events, company off-sites, and the annual audibene Wandertag
Cost of the Deutschland-Ticket covered
Access to over 50,000 gyms and wellness facilities through Urban Sports Club
Support for personal development with a wide range of programs, trainings, and coaching opportunities
Dog-friendly office

Fulltime

Senior Data Engineer

As a Senior Data Engineer at Corporate Tools, you will work closely with our Sof...

Location

United States

Salary:

150000.00 USD / Year

Corporate Tools

Expiration Date

Until further notice

Requirements

Bachelor’s (BA or BS) in computer science, or related field
2+ years in a full stack development role
4+ years of experience working in a data engineer role, or related position
2+ years of experience standing up and maintaining a Redshift warehouse
4+ years of experience with Postgres, specifically with RDS
4+ years of AWS experience, specifically S3, Glue, IAM, EC2, DDB, and other related data solutions
Experience working with Redshift, DBT, Snowflake, Apache Airflow, Azure Data Warehouse, or other industry standard big data or ETL related technologies
Experience working with both analytical and transactional databases
Advanced working SQL (Preferably PostgreSQL) knowledge and experience working with relational databases
Experience with Grafana or other monitoring/charting systems

Job Responsibility

Focus on data infrastructure. Lead and build out data services/platforms from scratch (using OpenSource tech)
Creating and maintaining transparent, bulletproof ETL (extract, transform, and load) pipelines that cleans, transforms, and aggregates unorganized and messy data into databases or data sources
Consume data from roughly 40 different sources
Collaborate closely with our Data Analysts to get them the data they need
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Improve existing data models while implementing new business capabilities and integration points
Creating proactive monitoring so we learn about data breakages or inconsistencies right away
Maintaining internal documentation of how the data is housed and transformed
Improve existing data models, and design new ones to meet the needs of data consumers across Corporate Tools
Stay current with latest cloud technologies, patterns, and methodologies

What we offer

100% employer-paid medical, dental and vision for employees
Annual review with raise option
22 days Paid Time Off accrued annually, and 4 holidays
After 3 years, PTO increases to 29 days. Employees transition to flexible time off after 5 years with the company—not accrued, not capped, take time off when you want
The 4 holidays are: New Year’s Day, Fourth of July, Thanksgiving, and Christmas Day
Paid Parental Leave
Up to 6% company matching 401(k) with no vesting period
Quarterly allowance
Use to make your remote work set up more comfortable, for continuing education classes, a plant for your desk, coffee for your coworker, a massage for yourself... really, whatever
Open concept office with friendly coworkers

Fulltime

Senior Data Warehouse Administrator

We are looking for a Senior Data Warehouse Administrator to bolster our expandin...

Location

India , Pune

Salary:

Not provided

FloQast

Expiration Date

Until further notice

Requirements

5–8 years of experience as a Data WareHouse Administrator or Data Platform Engineer
Expert-level knowledge of Data WareHouse administration
Proven experience with CDC tools, FiveTran, CData or similar ELT tools (e.g., Stitch, Airbyte)
Strong understanding of SQL tuning, partitioning, and query optimization
Deep knowledge of data warehousing concepts and modern data platforms
Experience with CI/CD, infrastructure-as-code (e.g., Terraform), and monitoring tools
Familiarity with data modeling (star/snowflake schemas) and governance practices
Strong scripting skills in Python or Bash for automation

Job Responsibility

Design, implement, and maintain scalable and secure data warehouse environments
Optimize data warehouse performance, including fine-tuning complex SQL queries, managing indexing, and monitoring workloads to ensure peak efficiency
Lead all administration tasks, encompassing user access control, Role-Based Access Control (RBAC), schema design, partitioning strategies, and ongoing cost optimization
Manage and monitor data ingestion pipelines, ensuring reliable ETL/ELT processes and demonstrating awareness of Change Data Capture (CDC) tools for efficient data flow
Collaborate closely with data engineers and data analysts to design and implement efficient data models and robust data transformations
Contribute significantly to our modern data lake architecture, specifically leveraging Apache Iceberg for data organization and schema evolution
Implement and enforce data governance and compliance policies across the data warehouse and data lake environments
Tooling and Automation: Building and maintaining tools to automate common administrative tasks, such as table compaction, data expiration policies, and health checks
Lead troubleshooting and Root Cause Analysis (RCA) efforts for critical data issues, ensuring rapid resolution and preventing recurrence
Mentor junior data warehouse administrators and actively share best practices across the broader data and engineering teams

Fulltime

Senior Data Engineer

The Data Engineer is responsible for designing, building, and maintaining robust...

Location

Germany , Berlin

Salary:

Not provided

ib vogt GmbH

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Data Engineering, or related field
5+ years of experience in data engineering or similar roles
experience in renewable energy, engineering, or asset-heavy industries is a plus
Strong experience with modern data stack (e.g., PowerPlatform, Azure Data Factory, Databricks, Airflow, dbt, Synapse, Snowflake, BigQuery, etc.)
Proficiency in Python and SQL for data transformation and automation
Experience with APIs, message queues (Kafka, Event Hub), data streaming and knowledge of data lakehouse and data warehouse architectures
Familiarity with CI/CD pipelines, DevOps practices, and containerization (Docker, Kubernetes)
Understanding of cloud environments (preferably Microsoft Azure, PowerPlatform)
Strong analytical mindset and problem-solving attitude paired with a structured, detail-oriented, and documentation-driven work style
Team-oriented approach and excellent communication skills in English

Job Responsibility

Design, implement, and maintain efficient ETL/ELT data pipelines connecting internal systems (M365, Sharepoint, ERP, CRM, SCADA, O&M, etc.) and external data sources
Integrate structured and unstructured data from multiple sources into the central data lake / warehouse / Dataverse
Build data models and transformation workflows to support analytics, reporting, and AI/ML use cases
Implement data quality checks, validation rules, and metadata management according to the company’s data governance framework
Automate workflows, optimize performance, and ensure scalability of data pipelines and processing infrastructure
Work closely with Data Scientists, Software Engineers, and Domain Experts to deliver reliable datasets for Digital Twin and AI applications
Maintain clear documentation of data flows, schemas, and operational processes

What we offer

Competitive remuneration and motivating benefits
Opportunity to shape the data foundation of ib vogt’s digital transformation journey
Work on cutting-edge data platforms supporting real-world renewable energy assets
A truly international working environment with colleagues from all over the world
An open-minded, collaborative, dynamic, and highly motivated team

Fulltime

Senior Data Engineer (Data Warehouse)

Plaud

Location:
Singapore , Singapore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

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