Data Engineering Intern Job at efficy (Brussels)

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

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

Data and Analytics Engineer Intern

The Data and Analytics Engineer Intern will assist in designing, building, and t...

Location

United States , Irvine

Salary:

17.00 - 22.00 USD / Hour

Trace3

Expiration Date

Until further notice

Requirements

Enrollment in the Junior or Senior year of an undergraduate program or master’s program at an accredited college or university
Candidates should be pursuing a field of study applicable to the Data Intelligence internship
Cumulative grade point average (GPA) of 3.0 or better
Ability to work independently on assigned tasks and accepts direction on given assignments
Self-motivated individuals with a customer mindset and desire to help people
Enthusiasm for technical problem solving with attention to detail and strong communication skills
Ability to learn and research in a dynamic and engaging environment
Availability to work 40 hours per week throughout the internship

Job Responsibility

Assist in designing, building, and testing data platforms and analytics solutions to generate actionable insights for our customers
Partner with our Data Intelligence Team to determine the best approach around data ingestion, structure, and storage, then work with the team to ensure these are implemented accurately
Contribute ideas on how to make our customers’ data more valuable and work with members of Trace3’s Engineering Team to implement solutions

What we offer

Comprehensive medical, dental and vision plans for you and your dependents
401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability
Competitive Compensation
Training and development programs
Major offices stocked with snacks and beverages
Collaborative and cool culture
Work-life balance and generous paid time off

Fulltime

Data Engineer, Enterprise Data, Analytics and Innovation

Are you passionate about building robust data infrastructure and enabling innova...

Location

United States

Salary:

110000.00 - 125000.00 USD / Year

Vaniam Group

Expiration Date

Until further notice

Requirements

5+ years of professional experience in data engineering, ETL, or related roles
Strong proficiency in Python and SQL for data engineering
Hands-on experience building and maintaining pipelines in a lakehouse or modern data platform
Practical understanding of Medallion architectures and layered data design
Familiarity with modern data stack tools, including: Spark or PySpark
Workflow orchestration (Airflow, dbt, or similar)
Testing and observability frameworks
Containers (Docker) and Git-based version control
Excellent communication skills, problem-solving mindset, and a collaborative approach

Job Responsibility

Design, build, and operate reliable ETL and ELT pipelines in Python and SQL
Manage ingestion into Bronze, standardization and quality in Silver, and curated serving in Gold layers of our Medallion architecture
Maintain ingestion from transactional MySQL systems into Vaniam Core to keep production data flows seamless
Implement observability, data quality checks, and lineage tracking to ensure trust in all downstream datasets
Develop schemas, tables, and views optimized for analytics, APIs, and product use cases
Apply and enforce best practices for security, privacy, compliance, and access control, ensuring data integrity across sensitive healthcare domains
Maintain clear and consistent documentation for datasets, pipelines, and operating procedures
Lead the integration of third-party datasets, client-provided sources, and new product-generated data into Vaniam Core
Partner with product and innovation teams to build repeatable processes for onboarding new data streams
Ensure harmonization, normalization, and governance across varied data types (scientific, engagement, operational)

What we offer

100% remote environment with opportunities for local meet-ups
Positive, diverse, and supportive culture
Passionate about serving clients focused on Cancer and Blood diseases
Investment in you with opportunities for professional growth and personal development through Vaniam Group University
Health benefits – medical, dental, vision
Generous parental leave benefit
Focused on your financial future with a 401(k) Plan and company match
Work-Life Balance and Flexibility
Flexible Time Off policy for rest and relaxation
Volunteer Time Off for community involvement

Fulltime

Data Engineer

Become a player in our data engineering team, grow on a personal level and help ...

Location

Serbia , Novi Beograd

Salary:

Not provided

MDPI

Expiration Date

Until further notice

Requirements

A university degree, ideally in Computer Science or related science, technology or engineering field
2+ years of relevant work experience in data engineering roles
Experience in data acquisition, laking, warehousing, modeling, and orchestration
Proficiency in SQL (including window functions and CTE)
Proficiency in RDBMS (e.g., MySQL, PostgreSQL)
Strong programming skills in Python (with libraries like Polars, optionally Arrow / PyArrow API)
First exposure to OLAP query engines (e.g., Clickhouse, DuckDB, Apache Spark)
Familiarity with Apache Airflow (or similar tools like Dagster or Prefect)
Strong teamwork and communication skills
Ability to work independently and manage your time effectively

Job Responsibility

Assist in designing, building, and maintaining efficient data pipelines
Work on data modeling tasks to support the creation and maintenance of data warehouses
Integrate data from multiple sources, ensuring data consistency and reliability
Collaborate in implementing and managing data orchestration processes and tools
Help establish monitoring systems to maintain high standards of data quality and availability
Work closely with the Data Architect, Senior Data Engineers, and other members across the organization on various data infrastructure projects
Participate in the optimization of data processes, seeking opportunities to enhance system performance

What we offer

Competitive salary and benefits package

Senior Data Engineer

As a Senior Software Engineer, you will play a key role in designing and buildin...

Location

United States

Salary:

156000.00 - 195000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

5+ years experience in platform engineering, data engineering or in a data facing role
Experience in building data applications
Deep knowledge of data eco system with an ability to collaborate cross-functionally
Bachelor's degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics)
Excellent communication skills
Self-motivated and self-directed
Inquisitive, able to ask questions and dig deeper
Organized, diligent, and great attention to detail
Acts with the utmost integrity
Genuinely curious and open

Job Responsibility

Architect and build robust, scalable data pipelines (batch and streaming) to support a variety of internal and external use cases
Develop and maintain high-performance APIs using FastAPI to expose data services and automate data workflows
Design and manage cloud-based data infrastructure, optimizing for cost, performance, and reliability
Collaborate closely with software engineers, data scientists, analysts, and product teams to translate requirements into engineering solutions
Monitor and ensure the health, quality, and reliability of data flows and platform services
Implement observability and alerting for data services and APIs (think logs, metrics, dashboards)
Continuously evaluate and integrate new tools and technologies to improve platform capabilities
Contribute to architectural discussions, code reviews, and cross-functional projects
Document your work, champion best practices, and help level up the team through knowledge sharing

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Lead Data Engineer

As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and...

Location

United States

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

10+ years of experience in data engineering, data architecture, or related technical fields
Proven ability to design, build, and optimize large-scale data ecosystems
Strong track record of leading complex data engineering initiatives
Deep hands-on expertise in ETL/ELT design, data warehousing, and data modeling
Extensive experience with data integration frameworks and best practices
Advanced knowledge of cloud-based data services and architectures (AWS Redshift, Azure Synapse Analytics, Google BigQuery, or equivalent)
Strong strategic and analytical thinking
Proficiency with modern data engineering frameworks (Databricks, Spark, lakehouse technologies like Delta Lake)
Exceptional communication and interpersonal skills

Job Responsibility

Engage deeply with stakeholders to understand data needs, business challenges, and technical constraints
Translate stakeholder needs into scalable, high-quality data solutions
Implement with a DataOps mindset using tools like Apache Airflow, Databricks/Spark, Kafka
Build reliable, automated, and efficient data pipelines and architectures
Lead and execute complex projects
Provide technical direction and set engineering standards
Ensure alignment with customer goals and company principles
Mentor and develop data engineers
Promote knowledge sharing and thought leadership
Contribute to internal and external content

What we offer

Comprehensive health benefits
Generous time away and flexible PTO
Maternity and paternity leave
Access to educational resources with reimbursement for continued learning
401(k) plan with company contribution

Data Engineer

We are looking for a Data Engineer to scale our Data Operations team and help us...

Location

Spain , Barcelona

Salary:

Not provided

Yokoy

Expiration Date

Until further notice

Requirements

3+ years of relevant experience as a Data Engineer, Business Intelligence, Big-Data Engineer or similar role working with large-scale data systems
Excellent communication skills, both written and spoken, in English
Master in SQL, optimizing queries for performance, scalability, and ease of maintenance
Comfortable querying different types of databases (PostgreSQL, Redshift, Snowflake) and have knowledge of different AWS services
Ace at data modeling, accustomed to designing and implementing complex architectures with a constant eye on their future evolution while taking into account the needs of multiple users
Experience building data pipelines using Python
Experience integrating data from multiple sources including DBs, product tracking, and APIs
Instinct for automation
Desire to work in an international environment, with minimal direction, and with highly engaged individuals

Job Responsibility

Ensure we are able to keep all data in our DWH updated and accessible for analysis
Partner with the Data analysts to support the requirements of the company in terms of analytics, reliability and efficiency
Develop and maintain data pipelines to extract data from different sources and integrate it in the DWH following data modeling best practices
Take charge of the required data processing while ensuring sustainable and organic growth of the data model and the infrastructure
Keep our data infrastructure up to date and working like a clock
Integrate and model datasets from different sources
Support our Data Analysts & BI Developers to get the right data to build awesome dashboards and complex analytical models
Support Product and Analytics teams in defining the best approaches for data modeling
Use data to investigate and help resolve issues in our product or processes
Proactively suggest improvements to data reliability, efficiency and quality

What we offer

Competitive compensation including equity in the company
Generous vacation days so you can rest and recharge
Health perks such as private healthcare or gym allowance depending on your location
Flexible compensation plan to help you diversify and increase the net salary
Unforgettable TravelPerk events including to travel to one of our hubs
A mental health support tool for your wellbeing
Exponential growth opportunities

Fulltime

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Data Engineering Intern

Job Responsibility

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