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1–3 jobs· newest first

Senior Data EngineerNew
General Motors · Austin, US
Hybrid · Full-time · Senior
Senior Data Engineer
Kainos · Remote, United Kingdom
Remote · Senior
Associate Data Science & Engineering Data & Analytics Advisory
PwC · Kolkata, India
Associate

+10K new in the last hour

Senior Data Engineer

General Motors · Posted Nov 9, 2026

Austin, Texas, United States
Hybrid
Full-time · Senior
7+ years

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Design, develop, and optimize scalable, cloud-native data pipelines and industrialized data assets to support automotive sales, loyalty, and marketing initiatives.

Responsibilities

Design, develop, and optimize data pipelines and workflows using Databricks and Azure Data Services.
Implement best practices for data engineering, including CI/CD, automated testing, and infrastructure-as-code.
Collaborate with cross-functional teams to deliver high-quality, reliable, and secure data solutions.
Drive adoption of modern DevOps practices within the data engineering lifecycle.
Ensure data quality, governance, and compliance across all solutions.

Requirements

Nice to have: Terraform
Nice to have: ARM templates
Nice to have: Salesforce CRM
Nice to have: CRM-A
Nice to have: Data Cloud

Skills

Databricks Azure Data Factory Azure Data Lake Azure Synapse Python SQL Apache Spark distributed data processing frameworks CI/CD pipelines Git DevOps tools cloud architecture data security performance optimization agile environment Terraform ARM templates Power-BI Tableau

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Senior Data Engineer

Kainos · Posted May 1, 2026

Remote, United Kingdom
Remote
Senior

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Senior Data Engineer responsible for designing and developing large-scale data processing and persistence software components for Kainos solutions.

Responsibilities

Design and develop data processing software for Big Data technologies
Lead development of significant technical components in agile teams
Ensure code quality, maintainability, and operational readiness
Advise customers and managers on technical implications of user stories
Coach and mentor team members

Requirements

Nice to have: performance tuning
Nice to have: data visualisation
Nice to have: complex data transformations
Nice to have: Kafka
Nice to have: change-data-capture

Skills

Java Scala Python AWS Azure GCP Databricks SQL ETL/ELT distributed data processing frameworks data stores data serialization formats automated testing CI/CD AI technologies

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Associate Data Science & Engineering Data & Analytics Advisory

PwC · Posted Nov 3, 2026

Kolkata, West Bengal, India
Associate
0–2 years

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Design and build analytical, deep learning, and machine learning algorithms using Python, R, and other statistical and data engineering tools; develop scalable data pipelines and cloud-based solutions leveraging AWS services to support advanced analytics and AI/ML workflows.

Responsibilities

Designing and building analytical, deep learning (DL), and machine learning (ML) algorithms using Python, R, and other statistical and data engineering tools.
Developing scalable data pipelines and cloud-based solutions leveraging AWS services to support advanced analytics and AI/ML workflows.

Requirements

Bachelor of Engineering
B. Tech
M. Tech

Skills

Python AWS Data Engineering Generative AI R SQL Distributed data processing frameworks Cloud-based data engineering tools OpenAI Google Gemini

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