Data and Analytics Engineer Intern Jobs

New

Data Analytics Engineer

SDG Group is expanding its global Data & Analytics practice and is seeking a mot...

Location

Egypt , Cairo

Salary:

Not provided

SDG

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Information Systems, or related field
Hands-on experience in DataOps / Data Engineering
Strong knowledge in Databricks OR Snowflake (one of them is mandatory)
Proficiency in Python and SQL
Experience with Azure data ecosystem (ADF, ADLS, Synapse, etc.)
Understanding of CI/CD practices and DevOps for data.
Knowledge of data modeling, orchestration frameworks, and monitoring tools
Strong analytical and troubleshooting skills
Eagerness to learn and grow in a global consulting environment

Job Responsibility

Design, build, and maintain scalable and reliable data pipelines following DataOps best practices
Work with modern cloud data stacks using Databricks (Spark, Delta Lake) or Snowflake (Snow pipe, tasks, streams)
Develop and optimize ETL/ELT workflows using Python, SQL, and orchestration tools
Work with Azure data services (ADF, ADLS, Azure SQL, Azure Functions)
Implement CI/CD practices using Azure DevOps or Git-based workflows
Ensure data quality, consistency, and governance across all delivered data solutions
Monitor and troubleshoot pipelines for performance and operational excellence
Collaborate with international teams, architects, and analytics consultants
Contribute to technical documentation and solution design assets

What we offer

Remote working model aligned with international project needs
Opportunity to work on European and global engagements
Mentorship and growth paths within SDG Group
A dynamic, innovative, and collaborative environment
Access to world-class training and learning platforms

Fulltime

New

Intern in Data Analytics

Internship role at Climeworks, a leading carbon removal provider, to help define...

Location

Switzerland , Opfikon, Zurich

Salary:

2000.00 - 2500.00 CHF / Month

Climeworks

Expiration Date

Until further notice

Requirements

Currently enrolled in or have recently completed a master’s degree in Engineering, Management, or Computer Science – preferably with a focus on data science / data analysis
Experience with process engineering, thermodynamics and/or a basis in corporate management will be a plus
Python programming (data analysis, automation, or scripting)
SQL for database queries (alternatively, R is acceptable)
Familiarity with Git is a plus
Proactive, innovative, and collaborative working style
Can work across disciplines and support others in their activities
Looking for a challenge, and are not afraid of taking risks and trying out new things
English is the working language
Available for a 6-month internship with a start date preferably in February 2026 or shortly thereafter

Job Responsibility

Operations Development: play an important role in defining how to operate the largest Direct Air Capture plants in the world in the most efficient way
build data products that derive insights from real time plant and business operations
Data Analytics: develop and maintain Python scripts for processing sensor data from our production plants and business process data from our ERP system
write SQL queries to support database management and transform data for reporting
build user-facing dashboards that enable Climeworks to maximize our carbon removal
Collaboration with Business Partners: work closely with colleagues in Production Engineering or Business Finance
understand their engineering requirements for plant operation (or financial excellence) and translate them into data analytics that deliver insights and drive actions
Collaboration with Data Engineering: collaborate with the data engineering team to deploy your data pipelines to our data platform
learn how to write code in a production environment and how to build scalable solutions
Communication & Presentation: communicate results, findings, and observations clearly and concisely to peers, and present them in technical reviews

What we offer

Hybrid work setup
flexibility while ensuring valuable collaboration by working onsite at least three days per week
inclusive environment where everyone feels valued

Fulltime

Product Data Engineering Intern

Product Data Engineering Intern role at Hewlett Packard Enterprise. This is an o...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Currently pursuing a Bachelor's degree in Systems Engineering, Industrial Engineering or Computer Engineering
Familiarity with SAP
Basic programming or scripting knowledge (e.g., Python, Java, C++)
Strong interest in high-tech and passion for learning
Excellent communication and interpersonal skills
Strong problem-solving and analytical skills
Time management skills and working with strict deadlines
A collaborative, solution-focused mindset and overall sense of urgency

Job Responsibility

Support senior team members on assigned technical projects
Help identify and troubleshoot technical issues, providing support and suggesting solutions
Assist with maintaining and updating hardware, software, and other technical systems
Participate in team activities by attending team meetings, learn about project methodologies, and collaborate effectively with colleagues
Actively engage in learning about new technologies and methodologies relevant to work
Fulfill tasks and responsibilities assigned by a supervisor in a timely and efficient manner
Participate in periodic reviews to share updates and incorporate feedback on assigned projects/initiatives

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Data Engineer, 2025/2026 Intern

Join Atlassian as an intern and spend your summer with us having an impact on ho...

Location

Australia , Sydney

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Be currently enrolled in a Bachelors or Masters program in Software Engineering, Computer Science or other related technical field and completing your studies before January 2027
Experience programming with Python, or other related object-oriented programming languages
Knowledge of data structures, in particular how they are implemented and how to apply them to meet data challenges
Proficiency in SQL and relational databases experience
Demonstrated interest in the Data Engineering field through academic coursework, previous work or internship experience, or personal projects

Job Responsibility

Influence product teams
inform Data Science and Analytics Platform teams
partner with data consumers and products to ensure quality and usefulness of data assets
help strategize measurement
collecting data
generating insights

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

New

Senior Analytics Engineer

Join Qargo as a Senior Analytics Engineer and turn complex logistics data into c...

Location

Belgium , Ghent

Salary:

Not provided

Qargo

Expiration Date

Until further notice

Requirements

Extensive experience in data analytics, BI engineering, or analytics engineering in a SaaS or data-driven environment
Strong proficiency in SQL, data modelling, and dashboarding tools (Lightdash, Superset, Tableau, Looker, or PowerBI)
Experience with analytics platforms such as Mixpanel and user behavior tracking methodologies is a plus
Proven ability to collaborate effectively with multidisciplinary teams (product, engineering, sales, finance)
Strong analytical and problem-solving skills, with an eye for scalability and data quality
A background in Computer Science, Data Engineering, Statistics, or a related field
A proactive mindset with the ability to take ownership of complex problems and guide them to completion

Job Responsibility

Own and evolve Qargo’s data architecture, ensuring scalable, reliable and high-quality data pipelines
Maintain, extend and optimise our in-app Lightdash dashboards, including operational, financial, and performance insights
Build and refine internal BI dashboards to support data-driven decision-making across departments
Develop account management dashboards that reveal feature adoption, revenue insights, and upsell opportunities
Create product and engineering analytics, including feature usage dashboards using Mixpanel or custom-built tracking solutions
Lead integration-related reporting, providing visibility on integration health, tenant usage, and performance
Build billing and cost-analysis dashboards, including API call cost allocation and tenant-level breakdowns
Mentor team members, set best practices, and raise the bar for analytics engineering within Qargo

What we offer

Real impact and ownership in a growing international scale-up
A supportive and collaborative team culture
Hybrid working setup with flexibility and trust
Opportunities to learn, grow, and expand your technical knowledge
Competitive salary and benefits package

Data Analytics Engineer

Beacon Biosignals is seeking an experienced data analytics engineer to strengthe...

Location

United States , Boston

Salary:

Not provided

Beacon Biosignals

Expiration Date

Until further notice

Requirements

Extensive experience developing, testing, and maintaining SQL transformations to deliver reproducible analytic results in a production setting atop data platforms such as Snowflake or Databricks
Proficiency in a scientific programming language such as Julia, Python, or R
A rigorous approach to documentation and automated testing
Experience deploying automated analytics pipelines to a production environment, monitoring their performance, and maintaining them over time
A collaborative mindset
Strong asynchronous communication skills and a knack for making the most of synchronous collaboration
Product-oriented intuition for turning individual stakeholder needs into configurable solutions and broadly applicable features
Familiarity with or interest in learning about analyses that power clinical trials, clinical diagnostics, or other medical applications that leverage data organization, transformation, and statistics

Job Responsibility

Design, implement, and maintain data models and transformations that enrich biosignal metrics with clinical context, powered by Beacon's biosignal data warehouse
Ensure that data pipelines and products produce reproducible results by owning CI test suites and versioning strategies for data models, dashboards, and reports
Build reusable, scalable customer-facing analytics products, such as automated scientific reports and dashboards that can be configured and reused without custom engineering
Improve user documentation and tooling to enable customers and internal scientists to use the analytics layer surface to answer new scientific questions
Deploy and monitor analytics and feature computation services that transform raw biosignal data and clinical metadata to generate meaningful scientific results
Collaborate with scientific subject matter experts, product managers, and customers to identify high-impact analytics improvements that accelerate therapy development

What we offer

Equity
PTO

New

Crypto Data Scientist / Machine Learning - LLM Engineer Intern

Token Metrics is searching for a highly capable machine learning engineer to opt...

Location

United States , Houston

Salary:

Not provided

Token Metrics

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, data science, mathematics, or a related field
Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous
At least two years' experience as a machine learning engineer
Advanced proficiency with Python, Java, and R code
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture
LLM fine-tuning experience and working with LLM Observability
In-depth knowledge of mathematics, statistics, and algorithms
Superb analytical and problem-solving abilities
Great communication and collaboration skills
Excellent time management and organizational abilities

Job Responsibility

Consulting with the manager to determine and refine machine learning objectives
Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models
Transforming data science prototypes and applying appropriate ML algorithms and tools
Ensuring that algorithms generate accurate user recommendations
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks
Developing ML algorithms to analyze huge volumes of historical data to make predictions
Stress testing, performing statistical analysis, and interpreting test results for all market conditions
Documenting machine learning processes
Keeping abreast of developments in machine learning

New

Head of Data Infrastructure & Analytics

As our remote Head of Data Infrastructure & Analytics, you will take the helm of...

Location

United States

Salary:

200000.00 USD / Year

Puffy

Expiration Date

Until further notice

Requirements

7+ years in digital analytics with proven track record of owning data quality in high-stakes B2C environments
Expert-level knowledge: GA4, GTM, server-side tracking, data pipeline architecture, e-commerce tracking
Can diagnose and fix tracking setup errors across the entire stack
Strong technical skills: SQL expert, Python or R proficiency for data validation
Data engineering knowledge: Understand ETL/ELT, data warehousing, API integrations, event-driven architecture
Experience building data quality systems: Automated validation checks, data observability, monitoring frameworks
Proven team leadership: Can manage 3+ person analytics team
Experience with data observability tools (Monte Carlo, Great Expectations, dbt tests)
Background in analytics engineering or data reliability engineering
Track record in high-growth e-commerce (sleep, wellness, DTC)

Job Responsibility

Data Quality Infrastructure (Your #1 Priority)
Audit existing tracking setup (GA4, GTM, Shopify, Klaviyo, ad platforms) and fix every configuration error
Build automated validation systems that catch bugs before humans see them
Implement pre-leadership QA processes with hard gates
Create monitoring and alerting
Technical Architecture & Reliability
Design and maintain server-side tracking implementation for attribution accuracy
Architect data pipelines that handle $2M+ monthly ad spend tracking without errors
Own end-to-end data flow: website events → collection → transformation → warehouse → reporting
Establish technical standards

What we offer

Continuous learning
10% monthly bonus
Premium insurance
Achievement recognition
Free snacks and lunches
Generous annual leave
AI tools and tech stack
18+ nationalities
Social events & activities
Learning and development support (we pay for courses you need to upskill)

Fulltime

Data and Analytics Engineer Intern

Trace3

Location:
United States, Irvine

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 13, 2025

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Location:United States, Irvine

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Job Description:

Job Responsibility:

Requirements:

Nice to have:

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Job Posted:December 13, 2025

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