AI Data Engineer Job at Influur (New York)

Data Engineer – AI Insights

We are looking for an experienced Data Engineer with AI Insights to design and d...

Location

United States

Salary:

Not provided

Thirdeye Data

Expiration Date

Until further notice

Requirements

5+ years of Data Engineering experience with exposure to AI/ML workflows
Advanced expertise in Python programming and SQL
Hands-on experience with Snowflake (data warehousing, schema design, performance tuning)
Experience building scalable ETL/ELT pipelines and integrating structured/unstructured data
Familiarity with LLM and RAG workflows, and how data supports these AI applications
Experience with reporting/visualization tools (Tableau)
Strong problem-solving, communication, and cross-functional collaboration skills

Job Responsibility

Develop and optimize ETL/ELT pipelines using Python, SQL, and Snowflake to ensure high-quality data for analytics, AI, and LLM workflows
Build and manage Snowflake data models and warehouses, focusing on performance, scalability, and security
Collaborate with AI/ML teams to prepare datasets for model training, inference, and LLM/RAG-based solutions
Automate data workflows, validation, and monitoring for reliable AI/ML execution
Support RAG pipelines and LLM data integration, enabling AI-driven insights and knowledge retrieval
Partner with business and analytics teams to transform raw data into actionable AI-powered insights
Contribute to dashboarding and reporting using Tableau, Power BI, or equivalent tools

Fulltime

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

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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

Quality Engineer - AI and Data Platforms

This is a pioneering Quality Engineer role at the intersection of data engineeri...

Location

United Kingdom , Manchester

Salary:

44000.00 - 66000.00 GBP / Year

Matillion

Expiration Date

Until further notice

Requirements

Solid foundation in data engineering: including SQL, ETL/ELT design, and specific experience building data pipelines and managing data movement
Strong practical AI experience: you have used, experimented with, and are an advocate for an AI-first approach to quality engineering
Proficiency in coding in Java or JavaScript to navigate the codebase and implement quality frameworks
Demonstrated Autonomy, Curiosity, and Problem-solving skills, with a willingness to look at challenges in a different way and ask for assistance as needed
Experience in managing end-to-end testing of SaaS applications, including developing and maintaining efficient test automation tooling

Job Responsibility

Leveraging AI and agentic solutions, including our agentic AI product Maia, to accelerate investigation, generate test cases, and increase quality assurance across the Data Productivity Cloud
Performing root cause analysis on pipeline stability issues, particularly identifying why DPC pipelines run out of memory (OOM) within the agents
Building pipelines to automate every process, solutionizing problems to increase overall team and product productivity
Acting as a crucial bridge by collaborating extensively with various teams, raising problems, and ensuring that fixes are implemented effectively
Adopting, implementing, and championing shift-left testing practices across the team, leading an automation-first approach

What we offer

Company Equity
30 days holiday + bank holidays
5 days paid volunteering leave
Health insurance
Life Insurance
Pension
Access to mental health support

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

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 & 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

AI Data Engineer

Influur

Location:
United States , New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 05, 2026

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