Data Engineer Job at FinXL (Sydney)

Data Engineer

We are looking for a Data Engineer to help strengthen enterprise data capabiliti...

Location

United States , San Diego

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

At least 5 years of hands-on experience in data engineering, data integration, or a closely related technical discipline
Strong background working with cloud data ecosystems and modern integration frameworks in production environments
Advanced SQL expertise, including query optimization, troubleshooting, and performance improvement
Proven experience creating and supporting production ETL or ELT pipelines across multiple data sources
Solid understanding of dimensional modeling and the design of analytics-focused datasets
Hands-on experience with Python, Apache Spark, or similar technologies used for large-scale data processing
Ability to communicate clearly, solve complex technical problems, and work effectively with both business and engineering teams
A bachelor’s degree in computer science, information systems, or a related field is preferred
relevant cloud or data certifications are a plus

Job Responsibility

Build and maintain robust data pipelines that move and transform information from diverse platforms into usable analytical datasets
Develop and support end-to-end integration workflows across multiple systems to ensure consistent and timely data delivery
Design data models and reporting structures that improve usability, performance, and accessibility for downstream analytics needs
Track data quality and platform performance, investigating issues and resolving reliability concerns before they affect business operations
Collaborate with cross-functional partners to translate reporting and analytics needs into scalable technical solutions
Maintain clear documentation and contribute to governance practices that promote accuracy, consistency, and operational discipline
Assist with validation, release activities, and continuous enhancements to improve the overall effectiveness of the data platform
Contribute to cloud-based data engineering efforts using tools such as Azure Data Factory, Azure Data Lake, Microsoft Fabric, Spark, Kafka, and Hadoop where appropriate

What we offer

medical, vision, dental, and life and disability insurance
enrollment in our company 401(k) plan

Fulltime

Data Engineer

The Data Engineer is a seasoned subject matter expert, responsible for the trans...

Location

Thailand , Bangkok

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Seasoned knowledge of the definition and management of scoping requirements, definition and prioritization activities
Seasoned understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
Seasoned expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
Seasoned understanding of data architecture landscape between physical and logical data models
Analytical mindset with excellent business acumen skills
Problem-solving aptitude with the ability to communicate effectively, both written and verbal
Ability to build effective relationships at all levels within the organization
Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.)
Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
Relevant certifications preferred such as SAP, Microsoft Azure etc.

Job Responsibility

Creates data models in a structured data format to enable analysis thereof
Designs and develops scalable extract, transformation and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources
Participates in the transformation of object and data models into appropriate database schemas within design constraints
Interprets installation standards to meet project needs and produce database components as required
Creates test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
Accountable for running data migrations across different databases and applications, for example MS Dynamics, Oracle, SAP and other ERP systems
Works across multiple IT and business teams to define and implement data table structures and data models based on requirements
Accountable for analysis, and development of ETL and migration documentation
Collaborates with various stakeholders to evaluate potential data requirements
Accountable for the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives

Fulltime

Data Engineer

We are looking for a highly motivated expert Data Engineer to design and develop...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL, Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies
Proficiency in workflow orchestration and performance tuning on big data processing
Strong understanding of AWS services
Ability to quickly learn, adapt, and apply new technologies
Strong problem-solving and analytical skills
Excellent communication and teamwork skills
Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices
Experience with streaming technologies such as Apache Kafka, Debezium, or similar platforms for real-time data processing and integration
Master’s /Bachelor’s degree and 5-8 years of Computer Science, IT, or related field experience

Job Responsibility

Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets
Build highly efficient data pipelines to migrate and deploy complex data across systems, with an understanding of biotech/pharma/manufacturing or related domains
Design and implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments
Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB, etc.), APIs, logs, event streams, images, PDFs, and third-party platforms
Ensure data integrity, accuracy, and consistency through rigorous quality checks and monitoring
Innovate, explore, and implement new tools and technologies to enhance efficient data processing
Proactively identify and implement opportunities to automate tasks and develop reusable frameworks
Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value
Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories
Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle

Data Engineer

We are looking for a skilled Data Engineer to join our team on a long-term contr...

Location

United States , New York

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proven experience in implementing and managing Snowflake and Palantir platforms
Strong proficiency in programming languages such as Python for data manipulation and analysis
Expertise in working with Apache Spark, Hadoop, and Kafka for large-scale data processing
In-depth knowledge of ETL processes and tools to handle complex data workflows
Familiarity with building and optimizing data pipelines and architectures
Ability to troubleshoot and resolve data system issues in a timely manner
Excellent problem-solving skills and attention to detail
Strong communication skills to collaborate effectively with cross-functional teams

Job Responsibility

Design, develop, and maintain data pipelines to support efficient data integration and processing
Implement and manage Snowflake-based data repositories to centralize and secure organizational data
Utilize Palantir to standardize and analyze data across multiple divisions, ensuring consistency and accuracy
Develop ETL processes to extract, transform, and load data from various sources into centralized systems
Collaborate with stakeholders to define data requirements and optimize system performance
Leverage tools like Apache Spark, Hadoop, and Kafka to build scalable data solutions
Monitor and troubleshoot data systems to ensure reliability and address any issues promptly
Deploy advanced analytics and AI models to drive operational efficiencies
Document processes and provide technical support to ensure smooth implementation and usage of data systems

What we offer

medical
vision
dental
life and disability insurance
company 401(k) plan

Data Engineer

As a Data Engineer, you will take ownership of major parts of our data platform ...

Location

Hungary , Budapest

Salary:

Not provided

Lensa

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in data engineering or a related field
Strong programming skills in Python and SQL (CTEs, window functions, complex joins, stored procedures)
Experience building batch and real-time data pipelines with Spark, Flink or similar frameworks
Solid understanding of ETL/ELT workflows, CI/CD pipelines, and production-grade deployment practices
Strong knowledge of data modeling, Redshift or similar MPP data warehouses, and distributed systems
Experience with AWS or other cloud provider services (EC2, Lambda, Step Functions, Glue, Redshift, S3)
Ability to operate independently, solve complex problems, and make sound technical decisions
Excellent communication skills and ability to work with both technical and non-technical stakeholders
Solid communication skills in English

Job Responsibility

Design data structures, batch and streaming pipelines, and processes for large-scale analytics and machine learning
Design, optimize and implement robust ETL/ELT workflows to feed Data Warehouse (Redshift) and other analytical layers for reporting, analytics, and operational use cases
Maintain, improve, and troubleshoot production pipelines, ensuring high reliability and performance
Own the architecture and development of core data systems end-to-end
Mentor Mid-Level and Junior Engineers and provide guidance on best practices, workflow standards, and troubleshooting
Collaborate closely with Data Scientists, Product, and Engineering teams to translate business requirements into scalable data solutions
Document systems, pipelines, and architecture
maintain runbooks and operational guides
Identify technical risks, propose solutions, and drive improvements in platform design, reliability, and performance
Participate in code reviews, provide technical mentorship, and help establish best practices

What we offer

Flexible working hours with home office opportunity
Medicover health insurance
Company lunch every day in the office
In-house gym in the office
Exciting programs and team-building events
Recreation room with darts, ping pong, foosball, XBox, and other games
Modern and fancy office in Buda close to Széll Kálmán tér

Fulltime

Data Engineer

Microsoft’s mission is to empower every person and every organization on the pla...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Formulate business problems and translate them into actionable data science projects
Explore, analyze, and centralize data to supply meaningful insights and create a single version of the truth
Design, prototype, implement, and test descriptive, predictive, forecasting, and causal inference models
Identify and action IT operations return to capacity success improvement
perform defect analysis, quantify opportunities, and set targets
Partner and collaborate with teams to identify opportunities for machine learning and predictive analysis
Build and deploy visualizations that deliver insights to decision-makers at all organizational levels
Communicate effectively with technical and non-technical audiences, contributing modeling expertise as a team player
Influence across disciplines to ensure data-driven decisions and solve critical problems for customers
Mentor others and foster a culture of continuous learning

Fulltime

Data Engineer

We are seeking a Data Engineer to design and build scalable data pipelines and p...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years of data engineering experience in cloud environments (AWS and/or Azure)
Hands‑on experience with Databricks, Apache Spark, and Delta Lake
Strong skills in Python / PySpark and SQL
Experience with data pipelines, ETL/ELT, and data modeling
Familiarity with orchestration tools (Airflow or similar) and modern data architectures

Job Responsibility

Design, build, and maintain scalable data pipelines using Databricks, Spark, and cloud-native services
Develop and optimize ETL/ELT workflows for batch and streaming data across AWS and Azure environments
Build and manage data models, data lakes, and warehousing solutions for analytics and AI use cases
Ensure data quality, reliability, and governance across the data lifecycle
Collaborate with data science, analytics, and platform teams to deliver data solutions

Fulltime

Data Engineer

We are looking for a Data Engineer to join a real estate and property organizati...

Location

United States , Chicago

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Microsoft Fabric and/or Azure Data Factory, including building and optimizing pipelines
Proven background working with Azure data services and cloud-based data architecture
Advanced experience with data modeling, complex querying, and performance tuning in enterprise data platforms
Solid programming skills in Python, Java, Scala, or a comparable language used in data engineering
Experience with ETL development, relational databases, and data warehousing concepts
Familiarity with technologies such as Apache Spark, Hadoop, or Kafka in support of large-scale data processing
Ability to work effectively as an individual contributor in a lean team environment with high accountability
Exposure to Power BI or Tableau, along with the ability to align technical solutions with business needs

Job Responsibility

Design, build, and enhance end-to-end data pipelines using Microsoft Fabric and/or Azure Data Factory for production use
Manage and improve the data environment with a strong ownership mindset, ensuring performance, reliability, and maintainability
Integrate data from varied sources such as APIs, databases, and flat files into structured, usable datasets
Develop data models and schema designs that support reporting, analytics, and downstream business needs
Monitor data quality and implement validation checks, troubleshooting issues through root cause analysis and continuous optimization
Create scalable cloud-based data solutions within Azure that support long-term operational and analytical goals
Partner with cross-functional stakeholders to translate business questions into practical data engineering solutions
Contribute to orchestration, automation, and ongoing support of data workflows using modern engineering tools and programming languages

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

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