CrawlJobs Logo
NTT DATA Logo NTT DATA · IT - Software Development

Senior BigQuery Engineer

Romania, Bucharest · Job Posted March 20, 2026
Apply Position
Job Link Share

Job Description

The Senior BigQuery Engineer will design and maintain scalable data warehouse solutions in BigQuery, optimize performance, and build data processing pipelines. You will join the OneMIS stream, responsible for management, regulatory & risk reporting, and advanced analytics. Our mission includes enhancing data quality via KPIs and migrating data platforms to modern, cloud-native ecosystems. We operate in an agile environment, committed to responsible data practices.

Job Responsibility

  • Design, develop, and maintain scalable data warehouse solutions in BigQuery, including dataset architecture, schema design, and data modeling (star/snowflake)
  • Design and implement a cloud-native data warehouse to replace on-premises infrastructure
  • Optimize performance through partitioning, clustering, query tuning, and workload management
  • Build data processing pipelines and workflows feeding BigQuery from multiple sources
  • Implement data quality checks, validation frameworks, and reconciliation processes
  • Work closely with product owners, analysts, to ensure solution align with the business requirements specification

Requirements

  • University degree in computer science or a comparable qualification
  • At least 5 years of data engineering experience
  • Strong SQL knowledge, preferably on Google Cloud Platform (GCP)
  • Experience orchestrating workflows with Cloud Composer (Apache Airflow), including DAG development, scheduling, monitoring, and dependency management
  • Hands-on experience building data processing pipelines using Dataflow (batch and streaming)
  • Good understanding of data warehousing concepts, data flows, data feeds
  • Experience using Bitbucket for Git-based source control and collaboration
  • Ability to work collaboratively in a dynamic environment

Nice to have

  • Hands-on experience with Python/PySpark for scalable distributed data processing
  • Experience with Infrastructure as Code (Terraform, Ansible, Chef)
  • Knowledge of shell scripting
  • Experience in financial services or regulated environments

What we offer

  • Smooth integration and a supportive mentor
  • Flexible working style (Remote, Hybrid or Office)
  • Flexible working hours
  • Sponsored certifications, trainings and top e-learning platforms
  • Private Health Insurance
  • Individual coaching sessions or accredited Coaching School
  • Epic parties or themed events
NTT DATA - All Job Offers

Looking for more opportunities?

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

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Senior BigQuery Engineer

8 matching positions

Senior BigQuery Engineer

You will join the OneMIS stream, responsible for management, regulatory & risk r...
Location
Location
Romania , Bucharest
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • University degree in computer science or a comparable qualification
  • At least 5 years of experience as a Data Engineer, building scalable data pipelines and working with cloud-based data ecosystems
  • Strong expertise in SQL and hands‑on experience building performant datasets in BigQuery (or similar cloud data warehouses)
  • Proven experience with Python and PySpark for scalable data processing in distributed environments
  • Solid understanding of data modeling, ELT/ETL patterns, and data quality best practices
  • Experience with Google Cloud Platform, particularly BigQuery, Dataflow, Cloud Composer, GCS, or equivalent cloud data services
  • Hands‑on experience building scalable data pipelines (batch and near real‑time) in a cloud‑native environment
  • Proficiency with version control, CI/CD pipelines, and automated testing frameworks
  • Ability to troubleshoot and optimize performance across compute, storage, and processing layers
Job Responsibility
Job Responsibility
  • Build scalable data pipelines: Design and deliver batch and real-time ETL/ELT pipelines across cloud environments to support analytics and reporting
  • Develop SQL and BigQuery solutions: Write and optimize advanced SQL transformations and build performant, cost‑efficient BigQuery data models
  • Develop Python workflows: Implement scalable data processing solutions using Python and PySpark, ensuring maintainable and high‑quality code
  • Design data models and ensure quality: Build robust data models and apply validation practices to maintain accuracy and reliability
  • Build cloud‑native data solutions: Use GCP services such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and GCS to build and operate modern data platforms
  • Optimize performance and reliability: Troubleshoot complex pipeline issues and continuously improve compute, storage, and processing performance
  • Collaborate using strong engineering practices: Work with engineering, analytics, and business teams while contributing to CI/CD, code reviews, and testing standards
What we offer
What we offer
  • Smooth integration and a supportive mentor
  • Pick your working style: choose from Remote, Hybrid or Office work opportunities
  • Different working hours to suit your needs
  • Sponsored certifications, trainings and top e-learning platforms
  • Private Health Insurance custom-made for you
  • Individual coaching sessions
  • Accredited Coaching School
  • Parties or themed events
  • Fulltime
Read More
Arrow Right

Software Developer - Senior / Senior Data Engineer

Imagine being at the forefront of protecting financial integrity and enabling cr...
Location
Location
United States , Southlake, TX or Austin, TX
Salary
Salary:
55.92 - 62.13 USD / Hour
aquent.com Logo
Aquent
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
  • 8+ years of hands-on experience in data management, including gathering data from diverse sources, consolidating it into centralized locations, and transforming it with business logic for consumption in visualization and data analysis
  • Strong expertise in BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, and related cloud platform services
  • Proficiency in Python and SQL for data processing and automation
  • Extensive experience with ETL processes and data pipeline design
  • Excellent problem-solving skills and meticulous attention to detail
  • Strong communication and collaboration skills, with the ability to actively listen, dialogue freely, and verbalize ideas effectively
  • Ability to thrive in an Agile work environment, delivering incremental value to customers by effectively managing and prioritizing tasks
Job Responsibility
Job Responsibility
  • Design, build, and maintain robust and scalable data pipelines using cloud platform tools such as BigQuery, Cloud Storage, Dataflow (Apache Beam), Cloud Composer (Airflow), and Pub/Sub
  • Develop high-performance, production-grade Python and SQL code, optimizing queries for efficient data extraction, transformation, and loading (ETL) processes
  • Implement complex data models in BigQuery, leveraging partitioning, clustering, and materialized views to achieve optimal performance
  • Collaborate closely with cross-functional teams, including business customers and Subject Matter Experts, to gather data requirements and deliver impactful solutions
  • Implement and uphold best practices for data quality, data governance, and data security
  • Proactively monitor and troubleshoot data pipeline issues, ensuring high availability and performance of critical data flows
  • Contribute to strategic data architecture decisions, providing recommendations for continuous improvement of data pipelines
  • Stay current with emerging trends and technologies in cloud-based data engineering and cyber security to drive innovation
  • Lead investigation and resolution efforts for identified data issues, taking ownership to resolve them in a timely manner
  • Document processes and procedures thoroughly for producing accurate metrics and ensuring operational clarity
What we offer
What we offer
  • subsidized health, vision, and dental plans
  • paid sick leave
  • retirement plans with a match
Read More
Arrow Right

Gcp Data Engineer- Senior Consultant

Location
Location
Salary
Salary:
Not provided
lingarogroup.com Logo
Lingaro
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 9+ years’ experience as DE - Python, GCP, BigQuery
  • Object oriented programming, Python and SQL
  • Strong knowledge in cloud computing platforms - Google Cloud - Candidate should be able to design, build, and deploy data pipelines in the cloud, to ingest data from various sources like databases, APIs or streaming platforms
  • Experience in composer or Apache Airflow and knowledge of Dataplex is a plus
  • Experience in dq checks implementation, any frameworks like Clouddq, Pydeequ
  • Good Knowledge of Dq dimensions
  • Experience working with GCP cloud-based infrastructure & systems
  • Programming skills (SQL, Python, other scripting)
  • Proficient in data modelling techniques and database optimization
  • Knowledge of query optimization, indexing, and performance tuning is necessary for efficient data retrieval and processing
Job Responsibility
Job Responsibility
  • Modelling the data from various sources and technologies
  • Troubleshooting and supporting the most complex and high impact problems, to deliver new features and functionalities
  • Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems
  • Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval
  • Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency
  • Identifying and resolving issues related to data processing, storage, or infrastructure
  • Monitoring system performance, identifying anomalies, and conducting root cause analysis to ensure smooth and uninterrupted data operations
  • Train and mentor junior data engineers, providing guidance and knowledge transfer
What we offer
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
  • Fulltime
Read More
Arrow Right

Data Engineer – Senior Consultant, GCP

Location
Location
India
Salary
Salary:
Not provided
lingarogroup.com Logo
Lingaro
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 8+ years’ experience as DE - Python, GCP, BigQuery
  • Object oriented programming, Python and SQL
  • Strong knowledge in cloud computing platforms - Google Cloud - Candidate should be able to design, build, and deploy data pipelines in the cloud, to ingest data from various sources like databases, APIs or streaming platforms
  • Experience in composer or Apache Airflow and knowledge of Dataplex is a plus
  • Experience in dq checks implementation, any frameworks like Clouddq, Pydeequ
  • Good Knowledge of Dq dimensions
  • Experience working with GCP cloud-based infrastructure & systems
  • Programming skills (SQL, Python, other scripting)
  • Proficient in data modelling techniques and database optimization
  • Knowledge of query optimization, indexing, and performance tuning is necessary for efficient data retrieval and processing
Job Responsibility
Job Responsibility
  • You will be a part of the team accountable for design, model and development of whole GCP data ecosystem for one of our Client’s (Cloud Storage, Cloud Functions, BigQuery)
  • Involvement throughout the whole process starting with the gathering, analyzing, modelling, and documenting business/technical requirements will be needed
  • The role will include direct contact with clients
  • Modelling the data from various sources and technologies
  • Troubleshooting and supporting the most complex and high impact problems, to deliver new features and functionalities
  • Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems
  • Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval
  • Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency
  • Identifying and resolving issues related to data processing, storage, or infrastructure
  • Monitoring system performance, identifying anomalies, and conducting root cause analysis to ensure smooth and uninterrupted data operations
What we offer
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
Read More
Arrow Right
New

Senior Software Engineer, Full Stack Web Development – GCP & Vertex AI Focus

Description Hybrid: This role is categorized as hybrid. This means the success...
Location
Location
United States , Austin
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science or related field, or equivalent experience
  • 5+ years of web application development experience
  • Strong frontend and backend development skills, including HTML, CSS, JavaScript, and Java, Python, and/or server-side JavaScript
  • Hands-on experience designing and operating production workloads on GCP, including services such as Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud Storage, Cloud SQL/Spanner, and BigQuery
  • Experience with AI-powered search or recommendation systems, ideally Vertex AI Search or similar semantic/vector search platforms
  • Experience with system design, testing, debugging, automation, and performance optimization
Job Responsibility
Job Responsibility
  • Develop competency across our complete web technologies stack (client, framework, and services)
  • Produce high quality software that is unit tested, reviewed, and checked in regularly for continuous integration and deployment
  • Serve as a tech lead, actively mentoring other engineers on the team and helping drive technical decisions and tradeoffs
  • Investigate and resolve performance bottlenecks across the full stack, including browser, edge, and cloud services
  • Lead efforts to automate testing, quality gates, and delivery pipelines, with a strong focus on reliability and observability
  • Work on API, Content Management, edge, and cloud systems that power GM brand and marketing experiences
  • Leverage your technical leadership to ensure we adhere to engineering best practices and evangelize opportunities to improve engineering productivity, and craftsmanship
  • Design and build web applications and services on GCP, leveraging services such as Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud Storage, Cloud SQL/Spanner, and BigQuery where appropriate
  • Implement and integrate Vertex AI Search to power intelligent search, semantic retrieval, and content discovery across GM's digital products (e.g., marketing sites, owner experiences, support content)
  • Define and evolve search schemas, indexing pipelines, and relevance signals (e.g., metadata, event telemetry, personalization signals) to continuously improve search quality and user satisfaction
  • Fulltime
Read More
Arrow Right
New

Senior QA Engineer

At HubX we build mobile apps, used and loved by millions all around the world. W...
Location
Location
Turkey , Izmir
Salary
Salary:
Not provided
hubx.co Logo
HubX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in software testing
  • Experience developing test strategies, test plans, and test cases
  • Experience with Firebase products (Remote Config, Crashlytics, App Distribution, BigQuery) is a great plus
  • Experience with in app purchase flow in mobile platform and knowledge in using tools like Revenuecat, Adapty etc.. is a great plus
  • Ability to create and maintain automation tests within fast-moving Agile delivery
  • Experience driving quality through process, instrumentation, requirements, and testing
  • Efficient in effort estimation, planning, prioritization and time management
  • A fast learner with good problem solving and analytical skills
  • Experience with Agile development methodologies
Job Responsibility
Job Responsibility
  • Design, develop, maintain and execute functional, regression, integration and end-to-end tests
  • Analyze requirements for the current and new projects, develop test strategy and test plans
  • Perform automated efforts for products which will help your own process, it is always great to make processes automated
  • Help define, improve and implement QA best practices
  • Use existing tools and techniques to execute test cases
  • Interact with project management and development teams to develop a strong understanding of the project and testing objectives
  • Design and create test scenarios and scripts regarding acceptance criteria
What we offer
What we offer
  • Huge impact
  • Ownership, opportunity to take responsibility from day one
  • A competitive compensation package
  • A brand new Macbook and welcome kit
  • Private Medical Insurance & HPV Vaccine & Critical Women’s Health Coverage
  • Gym Reimbursement
  • A unique and top-notch office
  • Unlimited coffee from XPresso
  • Limitless Snacks & breakfast
  • Continuous education
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

We’re looking for a Senior Data Engineer to help scale and evolve our data platf...
Location
Location
United States
Salary
Salary:
150000.00 - 180000.00 USD / Year
helpcare.ai Logo
Helpcare AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A min of 5+ years of software engineering experience with the last 2-3 years in data engineering, ideally including early-stage or 0→1 environments
  • Strong Python programming experience
  • Advanced proficiency in SQL
  • Proven experience building ETL/ELT pipelines end-to-end
  • Experience with orchestration tools like Airflow
  • Deep understanding of the data lifecycle: ingestion → storage → processing → transformation → serving
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Experience supporting BI tools (Looker, Tableau, etc.)
  • Familiarity with modern data warehouses (Snowflake, BigQuery, Redshift)
Job Responsibility
Job Responsibility
  • Design and scale our data platform including pipelines, models, and orchestration frameworks
  • Develop scalable ETL/ELT pipelines for ingesting data from APIs, databases, and event streams
  • Define and implement systems for data ingestion, storage, processing, and transformation
  • Build and manage workflow orchestration using tools like Airflow
  • Build semantic layer as well as dashboards
  • Establish best practices for data modeling, testing, and quality
  • Partner with stakeholders to shape data requirements and enable BI and analytics use cases
  • Optimize systems for performance, scalability, and cost from day one
  • Apply software engineering principles (testing, CI/CD, modular design) to data infrastructure
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

The YouVersion Senior Data Engineer is primarily responsible for shaping, implem...
Location
Location
United States , Edmond
Salary
Salary:
Not provided
life.church Logo
Life.Church
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of data or software engineering experience building production-grade data systems
  • Bachelor's degree in Computer Science, Data, or a related field
  • Strong proficiency in SQL
  • Experience with Python, Go, Java, or similar general-purpose languages
  • Hands-on experience with warehouse design and modeling (e.g., BigQuery, Postgres, SQL Server, DBT)
  • Experience with Airflow, Pub/Sub, Fivetran, streaming platforms, or similar tools
  • Experience building data systems on GCP or comparable cloud environments
  • Experience integrating batch and real-time data sources
  • Experience preparing datasets for predictive, prescriptive, or classification models
  • Understanding of feature engineering concepts and data requirements for ML workflows
Job Responsibility
Job Responsibility
  • Deliver Trusted Data: Build and maintain reliable data pipelines that provide accurate, actionable data for analytics, experimentation, and decision-making
  • Own Data Systems: Plan, implement, and operate ingestion, ETL/ELT, and integration workflows with a focus on quality, scalability, and resilience
  • Partner Cross-Functionally: Collaborate with product, platform, analytics, and engineering teams to ensure relevant data is instrumented, collected, and usable
  • Enable ML & LLM Use Cases: Prepare and curate datasets suitable for predictive modeling, experimentation, and LLM-driven applications
  • Support Model Readiness: Design data pipelines and schemas that support training, evaluation, and inference workflows in partnership with ML-focused engineers
  • Advance Data Governance: Contribute to data governance, stewardship, privacy, and security best practices
  • Improve Observability: Build testing, monitoring, and alerting to ensure high data quality and early detection of issues
  • Optimize for Scale: Performance tune pipelines, queries, and storage for efficiency and stewardship
  • Document & Enable: Create clear documentation, diagrams, and data definitions to improve understanding across teams
  • Mentor Others: Lead and support junior and mid-level data engineers through code reviews, pairing, and guidance
What we offer
What we offer
  • Paid parental leave, including maternity, paternity, and adoption leave
  • Generous employer-paid leave for vacation, sick time, and other qualifying reasons
  • Innovative and comprehensive Medical, Dental, and Vision insurance
  • Life insurance policy at 2x annual salary at no cost
  • Short-Term and Long-Term disability covered at 100% for full-time qualified staff members
  • Comprehensive wellness and mental health benefits
  • Generous 401(k) retirement plan with up to 12.5% contribution in first year
  • $160 annually in development dollars for professional growth
  • Casual dress and work environment
  • Fulltime
Read More
Arrow Right