Senior Data Solution Developer Job at Bombardier (Administrative Centre)

Senior Data Solution Developer

At Bombardier, we design, build and maintain the world’s peak-performing aircraf...

Location

Canada , Dorval

Salary:

Not provided

Bombardier

Expiration Date

Until further notice

Requirements

You hold a bachelor’s degree in computer science, Statistics, Informatics, Information Systems or another quantitative field
You have 8+ years of experience in a Data Engineer / Data Solution Developer role
You have knowledge of Agile / SCRUM project delivery, DevOps and CI/CD practices related to data solutions
You have advanced knowledge of SQL, query authoring/optimization and relational databases
You have experience optimizing ‘big data’ pipelines (storage, file formats, partitioning, Spark, Python, streaming)
You are efficient at performing root cause analysis to address data pipeline issues and applying long-term fixes
You have experience designing and building data transformation, data structures, metadata frameworks, semantic layer and automated workload management
You have experience implementing data protection measures, understanding data privacy and collaborating with Cybersecurity teams
You have good knowledge of Azure data services (Azure Data Factory, Azure Data Lake Storage, Event Hub, Databricks, Lakehouse Medallion Architecture) and PowerBI
You have good knowledge of object-oriented and functional programming languages: Python, Java, C++, Scala, etc.

Job Responsibility

Administer the enterprise data platforms (DWH, Data Lake, BI)
Create and maintain performance- and cost-optimized data pipelines, with high reliability, to meet business needs
Define and operate the infrastructure required for optimal extraction, loading and transformation (ELT) of data from a wide variety of data sources using SQL, API and Spark technologies
Design and implement improvements to life-cycle management processes (DevOps) enabling continuous integration, testing and deployment (CI/CT/CD) of data systems
Integrate data from various sources (including external data sources and IoT) and manage the big data as a key enterprise asset
Create and maintain backend data solutions for data analysts and data scientists. Assist them in unlocking insights from enterprise data
Identify, design, and implement internal processes and frameworks to improve the data platform (e.g. eliminating manual processes, optimizing data delivery, evolving data infrastructure capabilities, etc.)
Work with stakeholders including product, data and architecture SMEs to assist with data-related technical issues and support their data infrastructure needs
Ensure compliance with data architecture, data governance principles and security requirements
Implement and maintain the data platform’s semantic layer

What we offer

Insurance plans (Dental, medical, life insurance, disability, and more)
Competitive base salary
Retirement savings plan
Employee Assistance Program
Tele Health Program

Fulltime

AI Solution Developer II / Senior AI Solution Developer

This role will work within our Scientific Data Technology and AI department whic...

Location

United Kingdom

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and GenAI) or other equivalent qualification/experience
Experience in Palantir Foundry, it’s ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines
Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry)
Proven CS fundamentals including data structures, algorithms, and distributed systems
Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc.
Proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry
Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit-learn, TensorFlow)
Experience with data modeling and pipeline development in Palantir Foundry
Experience with frontend development for intuitive user experience
Practical understanding of database technologies including relational, non-relational and graph

Job Responsibility

Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end-user applications
Design, implement, and document new ML/Gen AI modeling techniques and strategies
Develop ML pipelines and workflows in Foundry to support AI solution development and deployment
Review and adapt recent research in ML and Gen AI into Foundry-based prototypes and production solutions
Review code and pipelines of other engineers to enhance ML quality and security within Foundry
Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry
Support development of custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs
Lead experiment and model evaluation design based on well-founded best practices in machine learning to ensure safe, effective, and principled AI development practices within Foundry
Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments
Collaborate with Product to define and implement features to satisfy customer requirements within Foundry

What we offer

competitive base salary
holiday
private healthcare
dental insurance

Fulltime

Software Developer - Senior / Senior Data Engineer

Imagine being at the forefront of protecting financial integrity and enabling cr...

Location

United States , Southlake, TX or Austin, TX

Salary:

55.92 - 62.13 USD / Hour

Aquent

Expiration Date

Until further notice

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

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

subsidized health, vision, and dental plans
paid sick leave
retirement plans with a match

Cloud Solution Architect and Senior Cloud Solution Architect - Data and AI

We are looking for Cloud Solution Architect (CSA) and Senior Cloud Solution Arch...

Location

United States , Multiple Locations

Salary:

85100.00 - 169800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 2+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
Authorization to work in the United States that does not now or in the future require employer sponsorship
1+ years of experience with AI/ML and/or Generative AI technology
2+ years of customer facing experience providing recommendations to, or collaborating with, mid-to-senior level executives to address and advance technology transformation initiatives, entablements, and outcomes, including Data and AI solutions
2+ years of enterprise experience in ANY of the following: Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, and Cosmos DB

Job Responsibility

Seek to understand customers’ overall data estate Business and IT priorities and success measures to design Data & Analytics solutions that drive business value and drive positive Customer Satisfaction & become a trusted advisor
Ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment and provide feedback and insights from customers/partners
Develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments and identify resolutions to Customer blockers by leveraging SA subject matter expertise
Deliver according to MS best practices & using repeatable Intellectual Property (IP)
Apply technical knowledge to architect and design solutions that meet business and IT needs, create AI roadmaps, drive Proof of Concepts (POC) and Minimal Viable Product (MVP), and ensure long term technical viability of new deployments, infusing key AI technologies where appropriate
Be the Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers and drive product improvements
Maintain technical skills and knowledge, keep up to date with market trends and competitive insights
collaborate and share with the AI technical community while educating customers on Azure platform
Accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes and obtain relevant accreditations and certifications

Fulltime

Pyspark Big Data Senior Developer - Vice President

We are building an A-team of highly skilled and autonomous engineers, and we are...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years of extensive, hands-on experience as a Senior Big Data Developer, with a strong emphasis on PySpark and the Apache Spark ecosystem, operating as a player/coach
Expert proficiency in Python, with a proven track record of developing robust, scalable, and high-performance PySpark applications for large-scale data processing
Deep understanding and extensive hands-on experience with Apache Spark (Spark Core, Spark SQL, Spark Streaming) and its ecosystem
Experience with distributed computing frameworks such as Hadoop (HDFS, YARN)
Expert proficiency in SQL and extensive experience with data warehousing concepts and technologies (e.g., Hive, Snowflake, Redshift, Databricks SQL)
Proven experience with various data storage formats (e.g., Parquet, ORC, Avro) and data lake solutions (e.g., Delta Lake, Iceberg)
Experience with NoSQL databases (e.g., MongoDB, Cassandra, HBase) is a significant plus
Strong experience with Apache Kafka for building real-time data pipelines and event-driven architectures
Demonstrated experience with big data services on major cloud platforms (e.g., AWS EMR/Glue/Redshift, Azure Databricks/Data Factory/Synapse, GCP Dataflow/Dataproc/BigQuery) is highly desirable
Proven effectiveness with AI coding tools (e.g., Claude Code, Codex, Antigravity) is a mandatory requirement

Job Responsibility

Operate end-to-end in the design, development, and implementation of robust big data solutions, ensuring optimal performance, scalability, data quality, and security
Collaborate closely within small, co-located squads (4-7 person teams), fostering high communication and low coordination overhead, to translate complex business requirements into technical specifications for big data processing and analytical solutions
Act as a player/coach within the team, mentoring junior members and leading by example in the development of efficient and innovative big data architectures
Design, develop, and optimize large-scale data pipelines using PySpark for data ingestion, transformation, and aggregation, always with an eye towards efficiency and domain relevance
Implement and manage real-time data streaming and event-driven architectures using technologies like Apache Kafka
Design and implement sophisticated data warehousing solutions and dimensional models for efficient data storage and retrieval, ensuring alignment with business needs
Work with various distributed data storage technologies, including distributed file systems (e.g., HDFS, S3) and NoSQL databases (e.g., MongoDB, Cassandra), selecting the right tool for the right problem
Implement efficient data processing and storage strategies to optimize the performance and scalability of big data applications, with a strong focus on the 'why' behind the technology choices
Champion best practices in software development, including rigorous code reviews, implementing comprehensive testing, and supporting continuous integration and continuous deployment (CI/CD) pipelines
Demonstrate high autonomy and agency in driving projects forward, making informed decisions, and proactively identifying areas for improvement

Fulltime

Senior Data Developer (Azure)

We are looking for a highly skilled and experienced Senior Azure Data Developer ...

Location

Egypt , Cairo

Salary:

Not provided

Coca-Cola HBC

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in computer science, information technology, data science, or a related field (or an equivalent of 7+ years of practical experience in a tech-domain)
Hands-on experience with MS Power BI, MS PowerApps, MS Azure Data Factory, MS Azure Data Lake Store, SQL Database (T-SQL), DAX & Power Query M (3+ years)
Proven track record of implementing proof-of-concept (POC) backend solutions
Expert knowledge with cloud platforms (Azure, Google Cloud Storage, Amazon), preferably Microsoft Azure – with a focus on data warehousing & backend development
Strong programming skills in languages such as C#, .NET, Python, Scala or Java
Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs)
Familiarity with big data technologies such as Hadoop, Spark, and Hive as well as strong knowledge with data manipulation frameworks such a PySpark
Strong analytical & problem-solving abilities, as well as good communication skills
Strong willingness to learn and adapt to new technologies and tools
Good proficiency in English as a day-to-day business language is a must.

Job Responsibility

Assist in the design, development, and maintenance of ETL (Extract, Transform, Load) processes using Azure Data Factory
Implement data ingestion processes from various data sources into Azure data storage solutions
Work with Azure SQL Database, Azure Data Lake Storage, and Hive & Databricks to store and manage large datasets (Terabytes of data)
Ensure data integrity and availability by implementing appropriate storage solutions
Integrate data from various sources, ensuring accuracy, completeness, and consistency
Collaborate with data scientists and analysts to understand data requirements and provide necessary support
Contribute to the strategy, design and development of our Enterprise and Operational Reporting, providing insights and supporting decision making for end users
Integrate & transform data from various data systems into structures that are suitable for building analytical solutions
Design, develop and implement Azure-based solutions connecting certified and validated data sources to Power BI front-end visualizations and creating a single source of truth for reporting

What we offer

Development opportunities
Equal opportunity employer
IT Equipment
Learning programs
Work with iconic brands
Supportive team
Volunteering Opportunities
Wellbeing program

Senior Data Developer

We are seeking an experienced Data Developer with expertise in Snowflake to adap...

Location

Romania

Salary:

Not provided

TechTalent Software

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Business Informatics, or a comparable qualification
Several years of experience in database development and management, preferably in Snowflake
Strong proficiency in SQL and database design
Experience implementing automated data solutions
Excellent analytical and problem-solving skills
Strong communication and consulting abilities
Conversational level of German language (B1 or higher)

Job Responsibility

Analyze and evaluate the existing database environment to identify necessary adjustments
Advise business departments and users on requirements and technical solutions
Design and implement automated data provisioning and update processes
Ensure the provision of requirements-based data packages for reporting
Support acceptance and quality assurance of implemented adjustments
Provide consulting on analytical topics and prepare implementation in the department’s environment

What we offer

Relocation package
Job rotation
Learning through Arnia Academy
Attractive projects
Flexibile working hours
Performance bonuses
Medical benefits
Trainings
Competitive compensation package
Referral program

Fulltime

Senior Data Warehouse Developer

We are looking for an experienced Senior Data Warehouse Developer to join a crit...

Location

Australia , Adelaide

Salary:

Not provided

Randstad

Expiration Date

June 10, 2026

Requirements

Proven, hands-on experience with the Informatica IDMC Platform, including its data integration, data governance, and data catalog features
Strong expertise in data modeling and architecture
A solid understanding of data management principles
Experience with Informatica PowerCenter and the ability to manage migration tasks
Demonstrated ability to perform detailed data analysis
Tertiary qualifications in the field of computer science
Technology or IT and/or equivalent experience
Full Working Rights in Australia

Job Responsibility

Design, develop, and implement robust data integration solutions using Informatica IDMC, with a focus on Cloud Data Integration (CDI) and other related services
Lead the migration of existing Informatica PowerCenter workflows to the new IDMC cloud environment
Provide ongoing monitoring and support for the Enterprise Data Warehouse and its associated ETL processes
Ensure all development work aligns with defined local standards and best practices
Conduct detailed data analysis for both source and target tables and columns to ensure data quality and integrity

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Senior Data Solution Developer

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