Senior Data Engineer Jobs

New

Senior Data & AI Innovation Engineer

We are seeking a highly proactive, self-driven Senior Data & AI Engineer to serv...

Location

Singapore , Singapore

Salary:

7000.00 - 8000.00 SGD / Month

Randstad

Expiration Date

January 08, 2026

Requirements

Proven, hands-on experience in implementing and supporting practical AI use cases (beyond academic study), understanding how to embed AI components into existing services
4+ years of hands-on experience in implementing and operating Snowflake Data Cloud in a production environment
Certification (e.g., SnowPro Data Engineer) is highly desirable
Familiarity with MLOps concepts and tools (e.g., Docker, MLflow, LangChain) and an understanding of LLMs, RAG pipelines, and generative AI deployment
Strong programming skills in Python for data manipulation, scripting, and AI model support

Job Responsibility

Proactively identify, design, and implement initial AI Proof-of-Concepts (POCs) across the APAC region, focusing on quick-win solutions like AI-powered chatbots and intelligent inventory monitoring systems
Analyze business processes to identify areas where AI components can be effectively embedded to solve immediate business challenges
Partner with business stakeholders to understand AI data needs, perform data engineering/prep, and ensure data readiness to support and sustain deployed AI models
Stay ahead of technology trends, perform proactive research on Data and AI solutions, and evangelize new capabilities to regional teams
Act as the APAC SME, collaborating closely with cross-regional peers and global teams to contribute to and align with the company Global Data Platform roadmap (Snowflake)
Define and execute the complete migration strategy from legacy data warehouses/databases (e.g., PostgreSQL, MS SQL) to the Snowflake Data Cloud platform
Design, build, and optimize scalable, robust ETL/ELT data pipelines to curate raw data into BI and Advanced Analytics datasets
Implement and manage Snowflake governance, including access control, data security, usage monitoring, and performance optimization aligned with global best practices

New

Senior Data Engineer

Barbaricum is currently seeking a Unit System Integrator I proficient to join ou...

Location

United States , Fort Belvoir

Salary:

Not provided

Barbaricum

Expiration Date

Until further notice

Requirements

Must be certified by the Army by attending/completing the Army Basic Instructor Course (ABIC)
A minimum of 1 year of experience with a Bachelor’s degree, 7 years of experience with an Associate’s degree, or 10 years of experience with a High School Diploma (or equivalent)
DoD Secret Security clearance

Job Responsibility

Assists personnel with current and extensive experience in tactical operations at the small unit level in combat operations in Infantry, Armor, Cavalry, Special Forces, Engineer or Field Artillery Military Occupational Specialties (MOS)
Assists in coaching/teaching/mentoring small unit leaders at the team, squad, platoon and company levels of combat arms organizations, as demonstrated by their experience and military training

New

Senior Data Engineer

The Data Engineer will build scalable pipelines and data models, implement ETL w...

Location

United States , Fort Bragg

Salary:

Not provided

Barbaricum

Expiration Date

Until further notice

Requirements

Active DoD TS/SCI clearance (required or pending verification)
Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience) OR CSSLP / CISSP-ISSAP
Strong programming skills in Python, Java, or Scala
Strong SQL skills
familiarity with analytics languages/tools such as R
Experience with data processing frameworks (e.g., Apache Spark, Hadoop) and orchestration tools (e.g., Airflow)
Familiarity with cloud-based data services (e.g., AWS Redshift, Google BigQuery, Azure Data Factory)
Experience with data modeling, database design, and data architecture concepts
Strong analytical and problem-solving skills with attention to detail
Strong written and verbal communication skills

Job Responsibility

Build and maintain scalable, reliable data pipelines to collect, process, and store data from multiple sources
Design and implement ETL processes to support analytics, reporting, and operational needs
Develop and maintain data models, schemas, and standards to support enterprise data usage
Collaborate with data scientists, analysts, and stakeholders to understand requirements and deliver solutions
Analyze large datasets to identify trends, patterns, and actionable insights
Present findings and recommendations through dashboards, reports, and visualizations
Optimize database and pipeline performance for scalability and reliability across large datasets
Monitor and troubleshoot pipeline issues to minimize downtime and improve system resilience
Implement data quality checks, validation routines, and integrity controls
Implement security measures to protect data and systems from unauthorized access

New

Senior Data Platform Engineer

We are looking for an experienced data engineer to join our platform engineering...

Location

United States

Salary:

141000.00 - 225600.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering, software engineering with a data focus, data science, or a related role
Knowledge of designing data pipelines from a variety of source (e.g. streaming, flat files, APIs)
Proficiency in SQL and experience with relational databases (e.g., PostgreSQL)
Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming, Flink, Pulsar, Redpanda)
Strong programming skills in common data-focused languages (e.g., Python, Scala)
Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Prefect, Temporal)
Familiarity with AWS-based data solutions
Strong understanding of data warehousing concepts and technologies (Snowflake)
Experience documenting data dependency maps and data lineage
Strong communication and collaboration skills

Job Responsibility

Design, implement, and maintain scalable data pipelines and infrastructure
Collaborate with software engineers, product managers, customer success managers, and others across the business to understand data requirements
Optimize and manage our data storage solutions
Ensure data quality, reliability, and security across the data lifecycle
Develop and maintain ETL processes and frameworks
Work with stakeholders to define data availability SLAs
Create and manage data models to support business intelligence and analytics

What we offer

Competitive salary and 401k with employer match
Discretionary time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Development Programs
Snacks in our offices

New

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...

Location

Poland , Warsaw

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred
At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities
Strong foundation in computer science principes and statistical methods
Strong experience with cloud technology (AWS or Azure)
Strong experience with creation of data ingestion pipeline and ET process
Strong knowledge of big data tool such as Spark, Databricks and Python
Strong understanding of common machine learning techniques and frameworks (e.g. mlflow)
Strong knowledge of Natural language processing (NPL) concepts
Strong knowledge of scrum practices and agile mindset
Strong Analytical and Problem-Solving Skills with attention to data quality and accuracy

Job Responsibility

Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads
Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance
Build and maintain feature stores, vector/embedding stores, and core data assets for ML
Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring
Implement data quality checks, drift detection, and automated retraining processes
Optimise cost, latency, and performance across all AI/ML infrastructure
Collaborate with data scientists and engineers to deliver production-ready ML and AI systems
Ensure AI/ML systems meet governance, security, and compliance requirements
Mentor teams and drive innovation across both agentic and classical ML engineering practices
Participate in team meetings and contribute to project planning and strategy discussions

What we offer

Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
Pension: Awin offers access to an additional pension insurance to all employees in Germany
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program

New

Senior Data Engineer

At ANS, the Senior Data Engineer plays a key role in delivering robust, scalable...

Location

United Kingdom , Manchester

Salary:

Not provided

ANS Group

Expiration Date

Until further notice

Requirements

Experience in building and optimising pipelines in Azure Data Factory, Synapse, or Fabric
Strong knowledge of Python and SQL
Experience in using metadata frameworks in data engineering
Experience in best practice data engineering principles including CI/CD via Azure DevOps or Github
Understanding of Azure networking and security in relation to the data platform
Experience of data governance and regulation, including GDPR, principle of least privilege, classification etc.
Experience of lakehouse architecture, data warehousing principles, and data modelling
Familiarity with Microsoft Purview in a data platform context
Base knowledge of Azure foundry

Job Responsibility

Build and optimise data pipelines, notebooks, and data flows in Microsoft Fabric and Synapse Analytics, connecting to a variety of on-premises and cloud based data sources
Support Data Architects and Cloud Engineers by implementing solutions based on provided designs and offering feedback where needed
Collaborate across disciplines to ensure high-quality delivery of data solutions, including working with presales, managed services, and customer teams
Mentor Data engineers and support their development through guidance and task distribution
Ensure best practice adherence in engineering processes, including CI/CD via Azure DevOps and secure data handling (e.g. Key vault, private endpoints)
Contribute to Agile delivery by participating in standups, user story creation, and sprint planning
Document implemented solutions clearly and accurately for internal and customer use
Troubleshoot and resolve issues across subscriptions and environments
Work closely with the Project Manager (where applicable) to align on delivery timelines, report progress, and manage risks, while also acting as a key point of contact for customer SMEs and engineers to support collaboration and clarify technical requirements
Engage in continuous learning through certifications (e.g. DP-600 and/or DP700, AI-900, AI102, etc.) and development days

What we offer

25 days’ holiday, plus you can buy up to 5 more days
Birthday off
An extra celebration day
5 days’ additional holiday in the year you get married
5 volunteer days
Private health insurance
Pension contribution match and 4 x life assurance
Flexible working and work from anywhere for up to 30 days per year (some exceptions)
Maternity: 16 weeks’ full pay, Paternity: 3 weeks’ full pay, Adoption: 16 weeks’ full pay
Company social events

Fulltime

New

Senior Data Engineer II

We are looking for a skilled Data Engineer to join our growing team. You will pl...

Location

India , Hyderabad

Salary:

Not provided

Alter Domus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3+ years of experience as a Data Engineer or in a similar role working with cloud-based data platforms
Technical Skills: Cloud & Orchestration: Airflow (self-managed or managed services like Amazon MWAA) for workflow orchestration, DAG development, and scheduling
Familiarity with best practices for Airflow DAG structure, dependency management, and error handling
AWS Expertise: Hands-on experience with AWS Lake Formation, S3, Athena, and related services (e.g., Lambda, Glue, IAM)
Snowflake: Proficient in setting up data warehouses, configuring security, and optimizing queries on Snowflake
Data Ingestion & Transformation: Experience with Airbyte or similar tools for data ingestion
dbt or other SQL-based transformation frameworks for modular data processing
Programming: Proficiency in Python and/or Java/Scala for building data pipelines and custom integrations
Query Languages: Advanced knowledge of SQL for data manipulation and analysis

Job Responsibility

Data Pipeline Orchestration: Design, build, and maintain end-to-end data pipelines using Airflow (including managed services like Amazon MWAA) to orchestrate, schedule, and monitor batch/streaming workflows
Implement DAGs (Directed Acyclic Graphs) with retry logic, error handling, and alerting to ensure data quality and pipeline reliability
Data Ingestion & Transformation: Integrate data from various sources using Airbyte for ingestion and dbt for transformations in a scalable and modular fashion
Collaborate with Data Analysts and Data Scientists to implement transformations and business logic, ensuring data is analytics-ready
Data Modeling & Warehousing: Design and implement efficient data models for both structured and semi-structured data in AWS S3 (data lake) and Snowflake (data warehouse)
Ensure data schemas and transformations support advanced analytics, BI reporting, and machine learning use cases
Data Governance & Security: Utilize AWS Lake Formation APIs and best practices to maintain data security, access controls, and compliance
Work closely with IT security to establish robust encryption standards, audit trails, and identity/role-based access
Performance Optimization: Optimize AWS Athena queries and configurations (e.g., data partitioning) for performance and cost efficiency
Monitor and tune Airflow DAGs, Snowflake queries, and data transformations to improve throughput and reliability

What we offer

Support for professional accreditations
Flexible arrangements, generous holidays, plus an additional day off for your birthday
Continuous mentoring along your career progression
Active sports, events and social committees across our offices
24/7 support available from our Employee Assistance Program
The opportunity to invest in our growth and success through our Employee Share Plan
Plus additional local benefits depending on your location

Senior Data Engineer

We’re looking for a Senior Data Engineer to join our team who shares our passion...

Location

Finland , Helsinki

Salary:

Not provided

Aiven Deutschland GmbH

Expiration Date

Until further notice

Requirements

Have a proven track record of delivering complex, large-scale data projects from design to production
Excel at breaking down complex business requirements into clear, actionable technical plans
Have built tools or systems that are essential to how your team or stakeholders work
Write clean, effective Python and SQL and are familiar with tools like dbt and Airflow
Focus on building things that last, with simple and resilient design
Enjoy collaborating and sharing your thinking with your peers

Job Responsibility

Own and deliver key data projects, collaborating closely with stakeholders from Product, Sales, Marketing, and Finance
Take ownership of the technical design, implementation, and maintenance of data pipelines and modeling solutions
Build systems that are reliable, reusable, and designed for long-term clarity
Contribute to architectural decisions and advocate for best practices in Python, dbt, BigQuery, and modern data tooling
Mentor peers through clean code, thoughtful reviews, and system design

What we offer

Participate in Aiven’s equity plan
Hybrid work policy
Get the equipment you need to set yourself up for success
Real employer support (use one of our learning platforms, annual learning budget, and more)
Get holistic wellbeing support through our global Employee Assistance Program
Contribute to open source projects and get paid for it
Use up to 5 days per year to volunteer for a good cause of your choice
Join one of our team member resource groups
Extensive Occupational Health Care, Dental Care, as well as sports, culture, massage and lunch benefits
Regular office breakfast

Senior Data Engineer

Foundever

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 23, 2025

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Location:

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:December 23, 2025

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Contract Type:
Not provided

Job Posted:
December 23, 2025