CrawlJobs Logo

Data Analysis Engineer

· Job Posted March 18, 2026
Apply Position
Job Link Share

Job Description

We are looking for a talented Data Analysis Engineer to solve complex technical challenges as part of a large and ambitious project.

Job Responsibility

solve complex technical challenges as part of a large and ambitious project

Requirements

  • 2+ years of experience in Python/PyTest (for test scripting)
  • At least 1+ years working on data-centric or analytics projects
  • Experience with dbt, Snowflake
  • Proficiency in SQL for querying and validating large datasets
  • Exposure to Python or similar languages for test automation is a plus
  • Experience validating ETL/ELT workflows or dashboards
  • Exceptional attention to detail with outstanding analytical and problem-solving capabilities
  • Ease in a cooperative, Agile setting
  • Experience with JIRA and Confluence
  • Experience with Git/GitHub
  • English level B2+

Nice to have

  • Experience with Power BI (read/test level), Azure Dev-Ops
  • Airflow (read/debug level)
  • Familiarity with test case management tools

What we offer

  • Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
  • Competitive compensation that depends on your qualification and skills
  • Career development system with clear skill qualifications
  • Flexible working hours aligned to your schedule
  • Options to work remotely
  • Corporate medical insurance covering services of private and public medical centers
  • English courses online
  • Corporate parties and events for employees and their children
  • Internal conferences, workshops and meetups for learning and experience sharing
  • Gym membership compensation
  • 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Data Analysis Engineer

8 matching positions

Data Analysis Engineer

Key Requeriments: Bachelor’s degree in data science, computer science, engineeri...
Location
Location
Mexico , Toluca
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in data science, computer science, engineering, statistics, mathematics or related degree
  • 1–4 years of experience
  • English proficiency to maintain conversation applied to technical language
  • Knowledge data bases, programming, data bricks, DASC, SQL, PHYTON (essential)
  • Speaking and writing communication skills.
Job Responsibility
Job Responsibility
  • Responsible of data mining to provide visible solutions to customers, including layouts, PBI reports, statistical analysis, graphs and tables
  • Understanding of customer’s request to translate it to visual and functional reports
  • Team work to promote initiatives related to improve service KPI’s and spare parts sales
  • Identify projects requirements to translate them to a project timing and milestones
  • Prioritize projects according impact vs effort
  • Continuous improvement to generated visors
  • Documentation of processes and storage according GM policies
  • Support to district managers with data understanding and how it was calculated
  • Support dealer’s network to questions about KPIs reports and calculation
  • Self-development supported by collaboration with other areas and councils
  • Fulltime
Read More
Arrow Right

Senior/principal systems engineer - integrated data exploitation & analysis

We are seeking a R&D S&E Systems Engineer to join our dynamic team that manages ...
Location
Location
United States , Albuquerque
Salary
Salary:
117500.00 - 235700.00 USD / Year
sandia.gov Logo
Sandia National Laboratories
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in a relevant discipline and five (5) years of directly relevant experience, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development
  • Ability to obtain a DOE Q clearance
  • Demonstrated experience in systems engineering across one or more of the following: requirements definition/management
  • functional decomposition and allocation
  • system architecture and concept development
  • subsystem integration and interface definition
  • trade studies and design optimization
  • verification/validation planning and execution support
  • Experience working on complex, multidisciplinary systems (e.g., aerospace, high-consequence, advanced manufacturing, complex mechanical/electromechanical systems)
  • Experience collaborating with internal/external stakeholders and translating stakeholder needs into implementable technical requirements
Job Responsibility
Job Responsibility
  • Partner with customers, stakeholders, and project management to negotiate, define, and manage system requirements that enable mission function and performance
  • Develop system concepts and architectures, including operational concepts, interface definitions, and subsystem allocations
  • Perform functional decomposition of system requirements into subsystem-level functional, performance, and constraint requirements
  • Lead or contribute to conceptual trade studies and evaluate competing characteristics among system elements to identify the most effective integrated solution
  • Plan and support verification and validation (V&V) strategies, including test/analysis/inspection/demonstration methods, acceptance criteria, and generation of Objective Quality Evidence (OQE)
  • Coordinate with subsystem teams and cross-functional partners to integrate subsystems, resolve interface issues, and ensure end-to-end system performance
  • Support and/or lead anomaly resolution and root cause analysis, including evaluation of corrective actions within the system trade space
  • Use physical and computational simulation/analysis (as appropriate to the program) to evaluate system behavior and support design decisions and verification
  • Apply lifecycle systems engineering considerations (development through operations/sustainment) to ensure robust and realizable solutions
  • Promote risk mitigation by proactively identifying and mitigating requirements, design, development, and integration risks
What we offer
What we offer
  • Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
  • Extraordinary co-workers
  • Some of the best tools, equipment, and research facilities in the world
  • Career advancement and enrichment opportunities
  • Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
  • Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance
  • Fulltime
Read More
Arrow Right

Senior Engineer - Data Engineer

Position - Data Engineer
Location
Location
India , Indore; Ahmedabad
Salary
Salary:
Not provided
arrow.com Logo
Arrow Electronics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience: 4 to 8 years in software/data engineering
  • Proficiency in SQL, NoSQL databases (e.g., DynamoDB, MongoDB), ETL tools, and data warehousing solutions
  • Proficiency in Python is a must
  • Cloud Platforms: Azure, AWS (e.g., EC2, S3, RDS) or GCP
  • Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
  • Knowledge of data governance and security practices
  • Experience with DevOps practices, including CI/CD pipelines and containerization (Docker, Kubernetes)
  • Excellent verbal and written communication skills in English
  • Experience working in Agile development environments
  • Understanding of AI and ML concepts, frameworks (e.g., TensorFlow, PyTorch), and practical applications
Job Responsibility
Job Responsibility
  • Design and development of real time software and Cloud/Web/mobile based software application
  • Analyze domain specific technical, high level or low level requirement and modification as per end customer or system requirement
  • Perform software testing including unit, functional and system level requirement including manual and automated
  • Perform code review following coding guidelines and static code analysis & troubleshoots software problems of limited difficulty
  • Document technical deliverable like software specifications, design document, code commenting, test cases and test report, Release note etc. throughout the project life cycle
  • Develop software solutions from established programming languages or by learning new language required for specific project
  • Fulltime
Read More
Arrow Right

Senior Data Engineer - Data Platform

We are looking for a Senior Data Engineer - Data Platform to join our Data & AI ...
Location
Location
France , Paris
Salary
Salary:
Not provided
doctolib.fr Logo
Doctolib
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • More than 7 years of experience as Site Reliability Engineer, Data Ops, Data Platform Engineer or in a similar role, with a proven track record of building and maintaining complex data infrastructures
  • Strong proficiency in data engineering and infrastructure tools and technologies, such as stream and events processing (Kafka, PubSub, Firehose) and Kubernetes
  • Expertise in programming languages like Python
  • Familiar with cloud infrastructure and services, preferably AWS, Azure, or GCP, and have experience with infrastructure-as-code tools such as Terraform
  • Excellent problem-solving skills with a focus on identifying and resolving data infrastructure bottlenecks and performance issues
Job Responsibility
Job Responsibility
  • Design and implement a scalable and reliable data infrastructure that supports the collection, processing, storage, and analysis of large-scale datasets while pushing security and privacy best practices
  • Build and maintain data pipelines that efficiently extract, transform, and load data from various sources into our data warehouse
  • Implement automation and orchestration tools to streamline infrastructure provisioning, data workflows, reduce manual effort, and improve operational efficiency
  • Monitor data platform for performance and reliability, identify and troubleshoot issues, and implement proactive solutions to ensure data quality and availability
  • Streamline and monitor platform costs, identify optimizations and saving opportunities while collaborating with data engineers, data scientists, and other stakeholders
What we offer
What we offer
  • Free comprehensive health insurance for you and your children
  • Parent Care Program: receive one additional month of leave on top of the legal parental leave
  • Free mental health and coaching services through our partner Moka.care
  • For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
  • Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
  • Up to 14 days of RTT
  • A subsidy from the work council to refund part of the membership to a sport club or a creative class
  • Lunch voucher with Swile card
  • Fulltime
Read More
Arrow Right

Data Engineer - Data Integration

Data Engineer - Data Integration, IBM Corporation, Armonk, NY and various unanti...
Location
Location
United States , Armonk, NY and various unanticipated client sites throughout the US
Salary
Salary:
167835.00 - 216700.00 USD / Year
nytimes.com Logo
The New York Times
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's degree or equivalent in Computer Science or related (employer will accept a bachelor's degree plus five (5) years of progressive experience in lieu of a master's degree) and one (1) year of experience as a Data Engineer or related
  • One (1) year of experience must include utilizing Google Cloud Platform (Google Big Query, Cloud Storage, Google Looker), Procedural language/Structured Query Language (PL/SQL), Informatica, DataStage, Data Integration, Data Warehousing, Database Design / Modelling, Data Visualization (Power BI/ Crystal reports)
Job Responsibility
Job Responsibility
  • Manage the end-to-end delivery of data migration projects, implementing ETL/ELT concepts and leveraging ETL tools such as Informatica and DataStage, and cloud platforms like Google Cloud
  • Design and build end-to-end data pipelines to extract, integrate, transform, and load data from diverse source systems into target environments such as databases, data warehouses, or data marts
  • Collaborate with clients to define data mapping and transformation rules, ensuring accurate application prior to loading
  • Normalize data and establish relational structures to support system migrations
  • Develop processes for data cleaning, filtering, aggregation, and augmentation to maintain data integrity
  • Implement validation checks and data quality controls to ensure accuracy and consistency across systems
  • Create, maintain, and optimize SQL procedures, functions, triggers, and ETL/ELT processes
  • Develop, debug, and maintain ETL jobs while applying query optimization techniques - such as indexing, clustering, partitioning, and use of analytical functions - to enhance performance on large datasets
  • Partner with data analysts, data scientists, and business stakeholders to understand requirements and ensure delivery of the right data
  • Capture fallouts and prepare reports using Excel, Power BI, Looker, Crystal Reports, etc
  • Fulltime
Read More
Arrow Right

Data Engineer - Big Data, Python, Databricks

The Applications Development Intermediate Programmer Analyst is an intermediate ...
Location
Location
India , Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4 - 6 years of relevant experience in the Financial Service industry
  • Intermediate level experience in Applications Development role
  • Proficient in Big DataTechnologies - Cloudera, Hive, Python, Java/PySpark, Data Bricks
  • Proficient in Data analysis and data modelling
  • Good understanding of ETL concepts
  • Consistently demonstrates clear and concise written and verbal communication
  • Demonstrated problem-solving and decision-making skills
  • Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
  • Bachelor's degree/University degree or equivalent experience
Job Responsibility
Job Responsibility
  • Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code
  • Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems
  • Apply fundamental knowledge of programming languages for design specifications
  • Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging
  • Serve as advisor or coach to new or lower level analysts
  • Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions
  • Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents
  • Has the ability to operate with a limited level of direct supervision
  • Can exercise independence of judgement and autonomy
  • Acts as SME to senior stakeholders and /or other team members
  • Fulltime
Read More
Arrow Right

Data Engineer (Big Data, Python, Databricks) - Assistant Vice President

The Applications Development Senior Programmer Analyst is an intermediate level ...
Location
Location
India , Chennai, Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5-8 years of relevant handson experience in Big Data technologies like Cloudera, Python, HQL, Java/PySpark
  • Knowledge on Machine Learning, AI would be added advantage
  • Experience in systems analysis, data analysis and programming of software applications
  • Experience in managing and implementing successful projects
  • Working knowledge of consulting/project management techniques/methods
  • Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
  • Bachelor’s degree/University degree or equivalent experience
Job Responsibility
Job Responsibility
  • Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
  • Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
  • Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
  • Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
  • Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
  • Ensure essential procedures are followed and help define operating standards and processes
  • Serve as advisor or coach to new or lower level analysts
  • Has the ability to operate with a limited level of direct supervision
  • Can exercise independence of judgement and autonomy
  • Acts as SME to senior stakeholders and /or other team members
  • Fulltime
Read More
Arrow Right

Sr. Data Engineer – Clinical Data Foundation

The Sr. Data Engineer is responsible for designing, building, maintaining, analy...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s /Bachelor’s degree with 9-12 years of experience in Computer Science, IT or related field
  • Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
  • Hands on experience with various Python/R packages for data analysis, feature engineering and machine learning model training
  • Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools
  • Excellent problem-solving skills and the ability to work with large, complex datasets
  • Strong understanding of data governance frameworks, tools, and best practices.
  • Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)
Job Responsibility
Job Responsibility
  • Design, develop, and maintain data solutions for data generation, collection, and processing
  • Be a key team member that assists in design and development of the data pipeline
  • Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
  • Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
  • Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
  • Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
  • Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
  • Implement data security and privacy measures to protect sensitive data
  • Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
  • Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
Read More
Arrow Right