Data Analysis Engineer Job at Itransition

Manager, Business Analysis & Agile Delivery – Global Data Engineering & BI

We're looking for an experienced people leader with strong Agile delivery expert...

Location

United States of America , Charlotte

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

8+ years in business analysis, Agile delivery, and/or data-focused project management
3+ years of direct people management
Proven success leading Agile teams (Scrum or Kanban) and scaling Agile practices across multiple initiatives
Solid understanding of data engineering, BI, and analytics ecosystems
Experience mentoring and developing talent, with a passion for building team capabilities
Strong communication skills with the ability to influence and align stakeholders at all levels
Expertise in Jira, Confluence, Azure DevOps, or similar project management tools
Ability to manage multiple priorities in a fast-paced, matrixed environment
Bachelor's degree in Information Systems, Data Analytics, or related field

Job Responsibility

Lead, inspire, and grow a team of Business Analysts and Scrum Masters
Provide coaching and performance management, helping team members develop career paths and strengthen their skills
Oversee requirements gathering, documentation, and translation of business needs into technical solutions across multiple data and BI initiatives
Drive adoption of Agile best practices and ensure consistent delivery approaches across teams
Act as an escalation point for project issues, scope alignment, and cross-functional dependencies
Collaborate with engineering, product, and business stakeholders to deliver high-quality solutions on time
Standardize and continuously improve BA and Scrum Master processes, templates, and tool usage
Balance team capacity and prioritize work to focus on the highest-value initiatives
Support talent acquisition, onboarding, and career development within the BA and Scrum Master community

Fulltime

Software Engineer (Data Engineering)

We are seeking a Software Engineer (Data Engineering) who can seamlessly integra...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

4+ years in Data Engineering and AI/ML roles
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Python, SQL, Bash, PySpark, Spark SQL, boto3, pandas
Apache Spark on EMR (driver/executor model, sizing, dynamic allocation)
Amazon S3 (Parquet) with lifecycle management to Glacier
AWS Glue Catalog and Crawlers
AWS Step Functions, AWS Lambda, Amazon EventBridge
CloudWatch Logs and Metrics, Kinesis Data Firehose (or Kafka/MSK)
Amazon Redshift and Redshift Spectrum
IAM (least privilege), Secrets Manager, SSM

Job Responsibility

Design, build, and maintain scalable ETL and ELT pipelines for large-scale data processing
Develop and optimize data architectures supporting analytics and ML workflows
Ensure data integrity, security, and compliance with organizational and industry standards
Collaborate with DevOps teams to deploy and monitor data pipelines in production environments
Build predictive and prescriptive models leveraging AI and ML techniques
Develop and deploy machine learning and deep learning models using TensorFlow, PyTorch, or Scikit-learn
Perform feature engineering, statistical analysis, and data preprocessing
Continuously monitor and optimize models for accuracy and scalability
Integrate AI-driven insights into business processes and strategies
Serve as the technical liaison between NStarX and client teams

What we offer

Competitive salary and performance-based incentives
Opportunity to work on cutting-edge AI and ML projects
Exposure to global clients and international project delivery
Continuous learning and professional development opportunities
Competitive base + commission
Fast growth into leadership roles

Fulltime

Senior Data Engineering Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
Proficiency in Python, PySpark, SQL
Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment
Knowledge of data governance principles and best practices, including data privacy and security regulations

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
Workation. Enjoy working from inspiring locations in line with our workation policy
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Grow as we grow as a company. 76% of our managers are internal promotions

Data Engineer

Introlligent is a global technology solutions provider known for delivering cutt...

Location

Singapore , Singapore

Salary:

Not provided

Introlligent

Expiration Date

Until further notice

Requirements

Extensive experience in reporting, data visualisation, data mining, data integration and ad hoc analysis
Strong Snowflake & Tableau expertise is a must
Familiar with Supply Chain/Operations environment preferred
Excellent data analysis and presentation skills
Excellent attention-to-detail, ability to compile and validate large amounts of data while maintaining a very high degree of accuracy
Excellent communication and comprehension skills
Ability to operate in a fast paced, rapidly changing environment
Business Acumen and ability to rapidly understand complex business process
Excellent problem solving skills: ability to analyze and resolve complex problems in a structured and logical manner
Excellent/Advanced Excel skills

Data Engineering Architect

Data engineering involves the development of solutions for the collection, trans...

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

10+ years’ experience in the Data & Analytics area
4+ years’ experience into Data Engineering Architecture
Proficiency in Python, PySpark, SQL
Strong expertise in Azure cloud services such as: ADF, databricks, pyspark, Logic app
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables
Support to team throughout the implementation process, answering questions and addressing issues as they arise

What we offer

Stable employment
“Office as an option” model
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Data Engineer

We are recruiting a Data Engineer to join the Rally Engineering team. The role t...

Location

United Kingdom , Banbury

Salary:

Not provided

Prodrive

Expiration Date

Until further notice

Requirements

Proficiency in data analysis software programs (e.g., Motec i2, WinDarab, ATLAS, etc.)
Hands-on experience with data acquisition hardware (loom, data logger, sensor technologies, etc.) and relevant software
Good understanding of vehicle dynamics theory and application
Ability to develop internal tools/software for data processing and analysis
Educated to Degree or equivalent in a relevant discipline (e.g., Mechanical or Automotive Engineering)
Candidate should ideally have experience of working in a similar role engineering for a Manufacturer Team in the WRC or Rally Raid. Circuit racing background would also be considered (F2, F3 or similar).

Job Responsibility

Travelling role: Data Engineer at all test and rally events of the World Rally Raid Championship
Car sensor specification, calibration, and testing for Events and pre-Event testing in accordance with guidelines set by the Rally Engineering Group. Ensure that car commences each event, and is maintained throughout, with the optimum configuration. Ensure that spare parts are readily available and track sensors spare parts purchases
Prompt publication of accurate and detailed Engineering documents and reports before (simulation analysis, sensitivity studies, system configuration) and after each Event and test (data findings, simulation correlation, performance of failsafe strategies, etc.)
Ability to effectively communicate data findings to Rally Engineers and lead data troubleshooting efforts at test and rally events. Capable of using data processing and analysis as a decision-making tool
Ensure good communication with the crew, engine, and design groups regarding all channel strategies, whether to monitor, control, or failsafe contingencies. Additionally, ensure that driver requests are communicated appropriately within the team.

What we offer

An attractive salary which will grow in line with your ongoing development and impact
25 days holiday (which increases with long service) with an opportunity to purchase up to 15 extra days
Training opportunities for continuing professional development
Onsite subsidised staff restaurant
Car and pension salary sacrifice schemes
Cyclescheme
Exercise classes
Paid time off for volunteering
Consultations with our Fit 4 Life expert
Social events throughout the year

Fulltime

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

Data Analysis Engineer

Itransition

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 18, 2026

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