Senior Data Integration Engineer Job at FinXL (Sydney)

Senior Microsoft Stack Data Engineer

Hands-On Technical SENIOR Microsoft Stack Data Engineer / On Prem to Cloud Senio...

Location

United States , West Des Moines

Salary:

155000.00 USD / Year

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of DATA WAREHOUSE EXPERIENCE / Data Lake experience
Advanced SQL Server
Strong SQL experience, working with structured and unstructured data
Strong in SSIS ETL
Proficiency in SQL and SQL Queries
Experience with SQL Server and SQL Server
Knowledge of Data Warehousing and Data Warehousing
Data Warehouse experience: Star Schema and Fact & Dimension data warehouse structure
Experience with Azure Data Lake and Data lakes
Proficiency in ETL / SSIS and SSAS

Job Responsibility

Modernize, Build out a Data Warehouse, and Lead & Build out a Data Lake in the CLOUD
REBUILD an OnPrem data warehouse working with disparate data to structure the data for consumable reporting
ALL ASPECTS OF Data Engineering
Technical Leader of the team

What we offer

Bonus
2 1/2 day weekends
Medical, vision, dental, and life and disability insurance
401(k) plan

Fulltime

Senior Data Engineer

We are looking for a Senior Data Engineer (SDE 3) to build scalable, high-perfor...

Location

India , Mumbai

Salary:

Not provided

Cogoport

Expiration Date

Until further notice

Requirements

6+ years of experience in data engineering, working with large-scale distributed systems
Strong proficiency in Python, Java, or Scala for data processing
Expertise in SQL and NoSQL databases (PostgreSQL, Cassandra, Snowflake, Apache Hive, Redshift)
Experience with big data processing frameworks (Apache Spark, Flink, Hadoop)
Hands-on experience with real-time data streaming (Kafka, Kinesis, Pulsar) for logistics use cases
Deep knowledge of AWS/GCP/Azure cloud data services like S3, Glue, EMR, Databricks, or equivalent
Familiarity with Airflow, Prefect, or Dagster for workflow orchestration
Strong understanding of logistics and supply chain data structures, including freight pricing models, carrier APIs, and shipment tracking systems

Job Responsibility

Design and develop real-time and batch ETL/ELT pipelines for structured and unstructured logistics data (freight rates, shipping schedules, tracking events, etc.)
Optimize data ingestion, transformation, and storage for high availability and cost efficiency
Ensure seamless integration of data from global trade platforms, carrier APIs, and operational databases
Architect scalable, cloud-native data platforms using AWS (S3, Glue, EMR, Redshift), GCP (BigQuery, Dataflow), or Azure
Build and manage data lakes, warehouses, and real-time processing frameworks to support analytics, machine learning, and reporting needs
Optimize distributed databases (Snowflake, Redshift, BigQuery, Apache Hive) for logistics analytics
Develop streaming data solutions using Apache Kafka, Pulsar, or Kinesis to power real-time shipment tracking, anomaly detection, and dynamic pricing
Enable AI-driven freight rate predictions, demand forecasting, and shipment delay analytics
Improve customer experience by providing real-time visibility into supply chain disruptions and delivery timeline
Ensure high availability, fault tolerance, and data security compliance (GDPR, CCPA) across the platform

What we offer

Work with some of the brightest minds in the industry
Entrepreneurial culture fostering innovation, impact, and career growth
Opportunity to work on real-world logistics challenges
Collaborate with cross-functional teams across data science, engineering, and product
Be part of a fast-growing company scaling next-gen logistics platforms using advanced data engineering and AI

Fulltime

Senior Data Engineer

At Ingka Investments (Part of Ingka Group – the largest owner and operator of IK...

Location

Netherlands , Leiden

Salary:

Not provided

IKEA

Expiration Date

Until further notice

Requirements

Formal qualifications (BSc, MSc, PhD) in computer science, software engineering, informatics or equivalent
Minimum 3 years of professional experience as a (Junior) Data Engineer
Strong knowledge in designing efficient, robust and automated data pipelines, ETL workflows, data warehousing and Big Data processing
Hands-on experience with Azure data services like Azure Databricks, Unity Catalog, Azure Data Lake Storage, Azure Data Factory, DBT and Power BI
Hands-on experience with data modeling for BI & ML for performance and efficiency
The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration
Experience in driving new data engineering developments (e.g. apply new cutting edge data engineering methods to improve performance of data integration, use new tools to improve data quality and etc.)
Knowledge of DevOps practices and tools including CI/CD pipelines and version control systems (e.g., Git)
Proficiency in programming languages such as Python, SQL, PySpark and others relevant to data engineering
Hands-on experience to deploy code artifacts into production

Job Responsibility

Contribute to the development of D&A platform and analytical tools, ensuring easy and standardized access and sharing of data
Subject matter expert for Azure Databrick, Azure Data factory and ADLS
Help design, build and maintain data pipelines (accelerators)
Document and make the relevant know-how & standard available
Ensure pipelines and consistency with relevant digital frameworks, principles, guidelines and standards
Support in understand needs of Data Product Teams and other stakeholders
Explore ways create better visibility on data quality and Data assets on the D&A platform
Identify opportunities for data assets and D&A platform toolchain
Work closely together with partners, peers and other relevant roles like data engineers, analysts or architects across IKEA as well as in your team

What we offer

Opportunity to develop on a cutting-edge Data & Analytics platform
Opportunities to have a global impact on your work
A team of great colleagues to learn together with
An environment focused on driving business and personal growth together, with focus on continuous learning

Fulltime

Senior Data Engineer

Join Inetum as a Data Engineer! At Inetum, we empower innovation and growth thro...

Location

Portugal , Lisbon

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Teradata – advanced SQL and data warehousing
CONTROL-M – job scheduling and automation
UNIX – working in a UNIX environment (directories, scripting, etc.)
SQL (Teradata) – strong querying and data manipulation skills
Ab Initio – data integration and ETL development
DevOps – CI/CD practices and automation
Collaborative tools – GIT, Jira, Confluence, MEGA, Zeenea

Job Responsibility

Design, development, and optimization of data solutions that support business intelligence and analytics

Fulltime

Senior Data Engineer

Senior Data Engineer role driving Circle K's cloud-first strategy to unlock the ...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Engineering, Computer Science or related discipline
Master's Degree preferred
5+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment
5+ years of experience with setting up and operating data pipelines using Python or SQL
5+ years of advanced SQL Programming: PL/SQL, T-SQL
5+ years of experience working with Snowflake, including Snowflake SQL, data modeling, and performance optimization
Strong hands-on experience with cloud data platforms such as Azure Synapse and Snowflake for building data pipelines and analytics workloads
5+ years of strong and extensive hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data
5+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions
5+ years of experience in defining and enabling data quality standards for auditing, and monitoring

Job Responsibility

Collaborate with business stakeholders and other technical team members to acquire and migrate data sources
Determine solutions that are best suited to develop a pipeline for a particular data source
Develop data flow pipelines to extract, transform, and load data from various data sources
Efficient in ETL/ELT development using Azure cloud services and Snowflake
Work with modern data platforms including Snowflake to develop, test, and operationalize data pipelines
Provide clear documentation for delivered solutions and processes
Identify and implement internal process improvements for data management
Stay current with and adopt new tools and applications
Build cross-platform data strategy to aggregate multiple sources
Proactive in stakeholder communication, mentor/guide junior resources

Fulltime

Big Data Platform Senior Engineer

Lead Java Data Engineer to guide and mentor a talented team of engineers in buil...

Location

Bahrain , Seef, Manama

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Significant hands-on experience developing high-performance Java applications (Java 11+ preferred) with strong foundation in core Java concepts, OOP, and OOAD
Proven experience building and maintaining data pipelines using technologies like Kafka, Apache Spark, or Apache Flink
Familiarity with event-driven architectures and experience in developing real-time, low-latency applications
Deep understanding of distributed systems concepts and experience with MPP platforms such as Trino (Presto) or Snowflake
Experience deploying and managing applications on container orchestration platforms like Kubernetes, OpenShift, or ECS
Demonstrated ability to lead and mentor engineering teams, communicate complex technical concepts effectively, and collaborate across diverse teams
Excellent problem-solving skills and data-driven approach to decision-making

Job Responsibility

Provide technical leadership and mentorship to a team of data engineers
Lead the design and development of highly scalable, low-latency, fault-tolerant data pipelines and platform components
Stay abreast of emerging open-source data technologies and evaluate their suitability for integration
Continuously identify and implement performance optimizations across the data platform
Partner closely with stakeholders across engineering, data science, and business teams to understand requirements
Drive the timely and high-quality delivery of data platform projects

Fulltime

Senior Data Engineer

Adswerve is looking for a Senior Data Engineer to join our Adobe Services team. ...

Location

United States

Salary:

130000.00 - 155000.00 USD / Year

Adswerve, Inc.

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)
5+ years of experience in a data engineering, analytics, or marketing technology role
Hands-on expertise in Adobe Experience Platform (AEP), Real-Time CDP, Journey Optimizer, or similar tools is a big plus
Strong proficiency in SQL and hands-on experience with data transformation and modeling
Understanding of ETL/ELT workflows (e.g., dbt, Fivetran, Airflow, etc.) and cloud data platforms (e.g., GCP, Snowflake, AWS, Azure)
Experience with ingress/egress patterns and interacting with API’s to move data
Experience with Python, or JavaScript in a data or scripting context
Experience with customer data platforms (CDPs), event-based tracking, or customer identity management
Understanding of Adobe Experience Cloud integrations (e.g., Adobe Analytics, Target, Campaign) is a plus
Strong communication skills with the ability to lead technical conversations and present to both technical and non-technical audiences

Job Responsibility

Lead the end-to-end architecture of data ingestion and transformation in Adobe Experience Platform (AEP) using Adobe Data Collection (Tags), Experience Data Model (XDM), and source connectors
Design and optimize data models, identity graphs, and segmentation strategies within Real-Time CDP to enable personalized customer experiences
Implement schema mapping, identity resolution, and data governance strategies
Collaborate with Data Architects to build scalable, reliable data pipelines across multiple systems
Conduct data quality assessments and support QA for new source integrations and activations
Write and maintain internal documentation and knowledge bases on AEP best practices and data workflows
Simplify complex technical concepts and educate team members and clients in a clear, approachable way
Contribute to internal knowledge sharing and mentor junior engineers in best practices around data modeling, pipeline development, and Adobe platform capabilities
Stay current on the latest Adobe Experience Platform features and data engineering trends to inform client strategies

What we offer

Medical, dental and vision available for employees
Paid time off including vacation, sick leave & company holidays
Paid volunteer time
Flexible working hours
Summer Fridays
“Work From Home Light” days between Christmas and New Year’s Day
401(k) Plan with 5% company match and no vesting period
Employer Paid Parental Leave
Health-care Spending Accounts
Dependent-care Spending Accounts

Fulltime

Senior Data Engineer

Senior Data Engineer to design, develop, and optimize data platforms, pipelines,...

Location

United States , Chicago

Salary:

160555.00 - 176610.00 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Master's degree in Engineering Management, Software Engineering, Computer Science, or a related technical field
3 years of experience in data engineering
Experience building data platforms and pipelines
Experience with AWS, GCP or Azure
Experience with SQL and Python for data manipulation, transformation, and automation
Experience with Apache Airflow for workflow orchestration
Experience with data governance, data quality, data lineage and metadata management
Experience with real-time data ingestion tools including Pub/Sub, Kafka, or Spark
Experience with CI/CD pipelines for continuous deployment and delivery of data products
Experience maintaining technical records and system designs

Job Responsibility

Design, develop, and optimize data platforms, pipelines, and governance frameworks
Enhance business intelligence, analytics, and AI capabilities
Ensure accurate data flows and push data-driven decision-making across teams
Write product-grade performant code for data extraction, transformations, and loading (ETL) using SQL/Python
Manage workflows and scheduling using Apache Airflow and build custom operators for data ETL
Build, deploy and maintain both inbound and outbound data pipelines to integrate diverse data sources
Develop and manage CI/CD pipelines to support continuous deployment of data products
Utilize Google Cloud Platform (GCP) tools, including BigQuery, Composer, GCS, DataStream, and Dataflow, for building scalable data systems
Implement real-time data ingestion solutions using GCP Pub/Sub, Kafka, or Spark
Develop and expose REST APIs for sharing data across teams

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Annual incentive program

Fulltime

Senior Data Integration Engineer

FinXL

Location:
Australia , Sydney

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 21, 2026

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