CrawlJobs Logo
Robert Half Logo Robert Half · IT - Software Development

Senior Microsoft Stack Data Engineer

United States, Des Moines Employment contract 155000.00 USD / Year · Job Posted January 06, 2026
Apply Position
Job Link Share

Job Description

Hands-On Technical SENIOR Microsoft Stack Data Engineer / On Prem to Cloud Senior ETL Engineer - Position WEEKLY HYBRID position with major flexibility! FULL Microsoft On-Prem stack. Hands-On Technical SENIOR Microsoft Stack Data Engineer | SENIOR Data Warehouse Engineer / SENIOR Data Engineer / Senior ETL Developer / Azure Data Engineer / ( Direct Hire) who is looking to help modernize, Build out a Data Warehouse, and Lead & Build out a Data Lake in the CLOUD but FIRST REBUILD an OnPrem data warehouse working with disparate data to structure the data for consumable reporting.

Job Responsibility

  • Modernize, Build out a Data Warehouse, and Lead & Build out a Data Lake in the CLOUD
  • FIRST REBUILD an OnPrem data warehouse working with disparate data to structure the data for consumable reporting
  • DOING ALL ASPECTS OF Data Engineering
  • Be in the technical weeds and technical data day to day
  • Could grow to the Technical Leader of this team

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
  • Knowledge of 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
  • Familiarity with Azure and Azure Stack
  • How to BUILD out an On Prem Data Warehouse and a Data Lake
  • Azure Cloud experience
  • Data Integration

Nice to have

  • Azure Data Factory experience
  • PowerBI, Business Intelligence, Reporting / Data Visualization
  • Agile team – management experience

What we offer

  • Bonus
  • 2 1/2 day weekends
Robert Half - 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 Microsoft Stack Data Engineer

8 matching positions

Senior Full-Stack Data Engineer

We are Metyis, a forward-thinking, global company that develops and delivers sol...
Location
Location
Portugal , Porto
Salary
Salary:
Not provided
metyis.com Logo
Metyis
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Academic degree in computer science, software engineering, machine learning engineering, or related field
  • At least 5 years of professional software development experience using languages such as Python, Spark, SQL, Scala, or Rust
  • Strong knowledge of cloud technology such as Microsoft Azure, or GCP
  • Strong knowledge of all-in-one analytics platforms such as Databricks, or Microsoft Fabric
  • Strong knowledge of data pipeline orchestration platforms such as Azure Data Factory, or Control-M
  • Experience in using data warehouse and data lake solutions such das SAP BW and Azure Data Lake
  • Experience with test driven development as well as with testing & data quality frameworks such as pytest, or great expectations in Python
  • Experience with SQL & No-SQL databases such as Azure SQL, or MongoDB
  • Experience with RESTful APIs and microservice architecture
  • Experience with GIT version control
Job Responsibility
Job Responsibility
  • Work on a company-wide batch & streaming data processing framework that can be viewed as a software application as part of an IT-Analytics team of data engineers
  • Design, develop, test, and deploy software & data pipelines using various batch & streaming technologies, and automate & monitor CI/CD/CT pipelines for an Azure based Data Platform
  • Optimize existing code for performance, reliability, and scalability
  • Debug and troubleshoot issues and provide technical support as needed
  • Follow best practices and standards for coding, documentation, testing, and security
  • Mentor and provide technical guidance to other data professionals, fostering a culture of knowledge sharing and continuous learning
  • Be proactive and be willing to work closely with Data Science, DevOps/MLOps, Cloud Infrastructure, or IT-Security colleagues
  • Research and evaluate new technologies and trends to improve existing software or create new solutions
What we offer
What we offer
  • Develop your professional career working with one of the major brands in the fashion industry
  • Opportunity to accelerate the pace of digitalization & eCommerce growth through advanced technology, business intelligence, and analytics
  • Driving high-impact insights enhances decision-making across the entire organization
  • Driving brand equity and digital sales through enhanced digital experiences
  • Interaction with senior business and eCommerce leaders regularly to drive their business toward impactful change
  • Become part of a fast-growing international and diverse team
Read More
Arrow Right

Senior Engineer (Data)

We’re looking for a Senior Engineer (Data Engineer) to design and build the data...
Location
Location
United Kingdom , Warminster
Salary
Salary:
Not provided
4cstrategies.com Logo
4C Strategies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A capable data engineer who has independently led substantial pieces of pipeline, modelling or platform work from design through to production
  • Solid SQL and a working transformation language — Python is most common
  • Comfortable with version control, code review and writing tests for the data you produce
  • Comfortable across the Microsoft / Azure data stack (SQL Server, Data Factory, Synapse or Fabric, Power BI)
  • Sound judgement around data modelling and warehouse / lakehouse patterns
  • Pragmatic about quality: you instrument what you build and care about how it runs
  • A thoughtful collaborator who works well with engineers, project managers, designers and senior customer stakeholders
  • A mentor by instinct who lifts the people around you and helps spread good practice
  • UK security clearance: if you already hold UK SC, that’s a plus
  • A genuine interest in our mission — software that helps armed forces, public safety and resilience organisations train, prepare, and respond
Job Responsibility
Job Responsibility
  • Design, build and operate batch and streaming data pipelines that move training and exercise data between Exonaut, MoD systems and partner platforms
  • Lead data modelling and warehouse / lakehouse design decisions
  • Work primarily across the Microsoft / Azure data stack
  • Introduce event‑driven and CDC patterns (Kafka, Event Hubs and similar) where they help us keep data flowing in near‑real‑time across systems
  • Help raise our engineering standards around code quality, testing, observability and operability
  • Mentor and coach engineers across the team
  • Partner with project managers and designers to make sure the data we build genuinely serves the people who use it
What we offer
What we offer
  • 25 days holidays (plus bank holidays)
  • Private healthcare including dental
  • Pension Scheme with 5% employer contribution
  • Enhanced maternity and paternity benefits
  • Life Assurance
  • Cycle to work scheme
  • Work Extras Discounts at over 80 retailers
  • Company social events
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

We are recruiting a Data Engineer on a long-term contract basis for a Challenger...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
morson.com Logo
Morson Talent
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on experience with Python, Apache Airflow and dbt
  • Experience with SQL (T-SQL/PL-SQL) and the Microsoft BI stack (SSIS, SSRS, SSAS)
  • Experience with CI/CD practices, test automation, and exposure to containerisation tools such as Docker
  • Strong experience working in Unix/Linux environments
Job Responsibility
Job Responsibility
  • Designing, building and maintaining a scalable on-premise data warehouse using modern data engineering practices
  • Building end-to-end ETL/ELT pipelines and curated data models
  • Collaborating with cross-functional teams to translate business requirements into technical solutions
  • Delivering reliable data products and visualisations using tools such as Power BI, Tableau or Qlik
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Microsoft Cloud Operations + Innovation (CO+I) is the engine that powers Microso...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years’ experience in business analytics, data science, data modeling, or data engineering work
  • OR master’s degree in computer science, Math, Software Engineering, Computer Engineering, or related field and 3+ years’ experience in business analytics, data science, data modeling, or data engineering work
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • 8+ years of experience in data engineering with coding and debugging skills in C#, Python, and/or SQL
  • Deploying solutions in Azure Services & Managing Azure Subscriptions
  • Understanding and knowledge about big data and writing queries with Kusto/KQL
  • Understanding and knowledge about extracting data via REST APIs
  • Strong analytical skills with a systematic and structured approach to software design
  • 5+ years of experience in data science, analytics, or machine learning
  • 4+ years of experience in developing solutions with Microsoft Power Platform, including Power BI, Fabric, Power Automate & M365 Dataverse
Job Responsibility
Job Responsibility
  • Apply modification techniques to transform raw data into compatible formats for downstream systems
  • Utilize software and computing tools to ensure data quality and completeness
  • Implement code to extract and validate raw data from upstream sources, ensuring accuracy and reliability
  • Writes efficient, readable, extensible code from scratch that spans multiple features/solutions
  • Develops technical expertise in proper modeling, coding, and/or debugging techniques such as locating, isolating, and resolving errors and/or defects
  • Leverages technical proficiency of big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, continuous integration and continuous delivery (CI/CD), Docker, Delta Lake, MLflow, AML, and representational state transfer (REST) application programming interface (API) consumption/development
  • Acquires data necessary for successful completion of the project plan
  • Proactively detects changes and communicates to senior leaders
  • Develops usable data sets for modeling purposes
  • Contributes to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Senior Data Engineer P3 Job Description. About JLL Technologies (JLLT): JLL Tech...
Location
Location
Mexico , Jalisco
Salary
Salary:
Not provided
jll.com Logo
JLL
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Data Engineering, or a related field (Master's degree preferred)
  • Minimum 5+ years of experience in data engineering or full-stack development, with a focus on cloud-based environments
  • Advanced expertise in managing big data technologies (Python, SQL, PySpark, Spark) with a proven track record of working on large-scale data projects
  • Strong Databricks experience
  • Advanced database/backend testing with the ability to write complex SQL queries for data validation and integrity
  • Strong experience in designing and implementing data pipelines, ETL processes, and workflow automation
  • Experience with data warehousing concepts, dimensional modeling, data governance best practices, and cloud-based data warehousing platforms (e.g., Google BigQuery, Snowflake)
  • Experience with cloud platforms such as Microsoft Azure, or Google Cloud Platform (GCP)
  • Experience working in DevOps model
  • Experience with Unit, Functional, Integration, User Acceptance, System, and Security testing of data pipelines
Job Responsibility
Job Responsibility
  • Design and implement robust, scalable data pipelines using Databricks, Apache Spark, and Delta Lake as well as BigQuery
  • Design and implement efficient data pipeline frameworks, ensuring the smooth flow of data from various sources to data lakes, data warehouses, and analytical platforms
  • Troubleshoot and resolve issues related to data processing, data quality, and data pipeline performance
  • Document data infrastructure, data pipelines, and ETL processes, ensuring knowledge transfer and smooth handovers
  • Create automated tests and integrate them into testing frameworks
  • Configure and optimize Databricks workspaces, clusters, and job scheduling
  • Work in a Multi-cloud environment including Azure, GCP and AWS
  • Implement security best practices including access controls, encryption, and audit logging
  • Build integrations with market data vendors, trading systems, and risk management platforms
  • Establish monitoring and performance tuning for data pipeline health and efficiency
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Senior Data Engineer Job Description; We are seeking a Senior Data Engineer who ...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
jll.com Logo
JLL
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Data Engineering, or a related field (Master's degree preferred)
  • Minimum 5+ years of experience in data engineering or full-stack development, with a focus on cloud-based environments
  • Advanced expertise in managing big data technologies (Python, SQL, PySpark, Spark) with a proven track record of working on large-scale data projects
  • Strong Databricks experience
  • Advanced database/backend testing with the ability to write complex SQL queries for data validation and integrity
  • Strong streaming and real-time API/service validation including automation
  • Experience with automated web services (WSDL) and microservices (REST) using custom scripts and assertions for data validation and data-driven testing
  • Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Proficiency in object-oriented programming and software design patterns
  • Experience working in DevOps model, including installing, configuring, and integrating automation scripts on continuous integration tools (CI/CD) and GitHub for real-time test suite execution and troubleshooting
Job Responsibility
Job Responsibility
  • Design, develop, and maintain scalable and efficient cloud-based data infrastructure using SQL and PySpark
  • Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion architecture
  • Design and implement efficient data pipeline frameworks, ensuring the smooth flow of data from various sources to data lakes, data warehouses, and analytical platforms
  • Troubleshoot and resolve issues related to data processing, data quality, and data pipeline performance
  • Stay updated with emerging technologies, tools, and best practices in cloud data engineering, SQL, and PySpark
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet their needs
  • Document data infrastructure, data pipelines, and ETL processes, ensuring knowledge transfer and smooth handovers
  • Create complex automated tests and integrate them into testing frameworks
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

We are seeking a Senior Data Engineer with strong experience in building modern,...
Location
Location
India
Salary
Salary:
Not provided
talentica.com Logo
Talentica
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BE/BTech in Computer Science from a recognized university
  • 6 to 8 years of hands-on experience in building data platforms and data engineering solutions
  • Strong proficiency in Python and PySpark for large-scale data processing
  • Strong expertise in data modeling and schema design (Star and Snowflake schemas, Normalized schemas, Slowly Changing Dimensions, Data Vault, Denormalized/Wide-table patterns)
  • Strong SQL skills with experience in relational databases (PostgreSQL preferred)
  • Experience with AWS cloud services (S3, Glue, Athena, EMR, EC2, Sagemaker)
  • Experience working in fast-paced Agile environment
  • Hands-on experience with AWS Sagemaker Studio or Microsoft Fabric or Databricks platform
  • Hands-on experience in Apache Iceberg or similar lakehouse technologies
  • Deep expertise in data warehouse and lakehouse architectures (Medallion, others) using Databricks, and Open-source stack
Job Responsibility
Job Responsibility
  • Build enterprise-grade data analytics platforms from scratch
  • Partner with customers on their product vision, roadmap and goals and design the high/low level technical designs
  • Build modern data analytics platforms using Apache Iceberg v2/v3, Data lakehouse or Medallion architecture, AWS Sagemaker Studio/Microsoft Fabric/Databricks, Python, Spark, AWS Glue, Kafka, Debezium
  • Design and Implement meta-data driven multi-source data integration pipelines for relational and non-relational databases, file systems to process GBs of data
  • Implement PHI-compliant data processing with automated data anonymization and PHI data stripping
  • Implement data quality frameworks and validation pipelines to grade data quality
  • Data modelling, and database design to ensure sub-minute query performance
  • Collaborate with tech experts, share learnings, do research and POCs to build reusable solutions
  • Mentor peer engineers, lead code reviews, conduct architecture discussions, publish Architecture Design Review Documents. drive technical excellence
  • Lead research, POCs, and prototypes to build reusable solutions and cool products in different domains like healthcare, media, IoT, e-commerce, mobile, networking, and lots more
What we offer
What we offer
  • A culture of innovation
  • Endless learning opportunities
  • Talented peers
  • Work-life balance
  • A great culture
  • Recognition & rewards
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

The Data Engineer is responsible for designing, building, and maintaining robust...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
ibvogt.com Logo
ib vogt GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Degree in Computer Science, Data Engineering, or related field
  • 5+ years of experience in data engineering or similar roles
  • experience in renewable energy, engineering, or asset-heavy industries is a plus
  • Strong experience with modern data stack (e.g., PowerPlatform, Azure Data Factory, Databricks, Airflow, dbt, Synapse, Snowflake, BigQuery, etc.)
  • Proficiency in Python and SQL for data transformation and automation
  • Experience with APIs, message queues (Kafka, Event Hub), data streaming and knowledge of data lakehouse and data warehouse architectures
  • Familiarity with CI/CD pipelines, DevOps practices, and containerization (Docker, Kubernetes)
  • Understanding of cloud environments (preferably Microsoft Azure, PowerPlatform)
  • Strong analytical mindset and problem-solving attitude paired with a structured, detail-oriented, and documentation-driven work style
  • Team-oriented approach and excellent communication skills in English
Job Responsibility
Job Responsibility
  • Design, implement, and maintain efficient ETL/ELT data pipelines connecting internal systems (M365, Sharepoint, ERP, CRM, SCADA, O&M, etc.) and external data sources
  • Integrate structured and unstructured data from multiple sources into the central data lake / warehouse / Dataverse
  • Build data models and transformation workflows to support analytics, reporting, and AI/ML use cases
  • Implement data quality checks, validation rules, and metadata management according to the company’s data governance framework
  • Automate workflows, optimize performance, and ensure scalability of data pipelines and processing infrastructure
  • Work closely with Data Scientists, Software Engineers, and Domain Experts to deliver reliable datasets for Digital Twin and AI applications
  • Maintain clear documentation of data flows, schemas, and operational processes
What we offer
What we offer
  • Competitive remuneration and motivating benefits
  • Opportunity to shape the data foundation of ib vogt’s digital transformation journey
  • Work on cutting-edge data platforms supporting real-world renewable energy assets
  • A truly international working environment with colleagues from all over the world
  • An open-minded, collaborative, dynamic, and highly motivated team
  • Fulltime
Read More
Arrow Right