Data Warehouse Engineer Job at Robert Half (Malvern)

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering and data platform development
Strong hands-on experience with: AWS Glue
Amazon EMR (Spark)
AWS Lambda
Apache Airflow (MWAA)
Amazon EC2
Amazon CloudWatch
Amazon Redshift
Amazon DynamoDB
AWS DataZone

Job Responsibility

Design, develop, and optimize scalable data pipelines using AWS native services
Lead the implementation of batch and near-real-time data processing solutions
Architect and manage data ingestion, transformation, and storage layers
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
Orchestrate complex data workflows using Apache Airflow (MWAA)
Develop and manage serverless data processing using AWS Lambda
Design and optimize data warehouses using Amazon Redshift
Implement and manage NoSQL data models using Amazon DynamoDB
Utilize AWS DataZone for data governance, cataloging, and access management
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch

Fulltime

Data Warehouse Engineer

Have very good experience with ETL frameworks and tools on Cloud platforms using...

Location

United States , Hamilton

Salary:

Not provided

eGrove Systems

Expiration Date

Until further notice

Requirements

Very good experience with ETL frameworks and tools on Cloud platforms using Azure Data Factory with SQL or Python
Very good experience in understanding data life cycle and data software development, data engineering with SQL in a Data Warehouse environment, building data pipelines and complex data transformations as well using Relational & NoSQL databases, open data formats, and programming languages such as Python or C#
Ability to use one or more of the following tools for data hunting, testing, analytics, and metrics such as SQL IDE’s, and analytics tools such as Power BI or similar tool
Implemented Surrogate key by using Key Management functionality for newly inserted rows in the Data warehouse
Very good understanding and implementation experience with dimensions and fact table designs
Participated in the identification of key performance indicators and methods for data warehouse to assist with operational and strategic planning
Installed, developed, and maintained a variety of applications to support business intelligence products, data warehouses and reporting systems
Designed and implemented daily data migration between central data warehouse server and application/reporting database server and analyst database server

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 highly skilled Senior Data Engineer to lead the design and ...

Location

United Kingdom

Salary:

45000.00 - 60000.00 GBP / Year

Activate Group Limited

Expiration Date

Until further notice

Requirements

Proven experience as a Senior Data Engineer, BI/Data Warehouse Engineer, or similar
Strong hands-on expertise with Microsoft Fabric and related services
End-to-end DWH development experience, from ingestion to modelling and consumption
Strong background in data modelling, including star schema, dimensional modelling and semantic modelling
Experience with orchestration, monitoring and optimisation of data pipelines
Proficiency in SQL and strong understanding of database principles
Ability to design scalable data architectures aligned to business needs

Job Responsibility

Lead the design, architecture and build of a new enterprise data warehouse on Microsoft Fabric
Develop robust data pipelines, orchestration processes and monitoring frameworks using Fabric components (Data Factory, Data Engineering, Lakehouse)
Create scalable and high-quality data models to support analytics, Power BI reporting and self-service data consumption
Establish and enforce data governance, documentation and best practices across the data ecosystem
Collaborate with cross-functional teams to understand data needs and translate them into technical solutions
Provide technical leadership, mentoring and guidance to junior team members where required

What we offer

33 days holiday (including bank holidays)
Personal health cash plan – claim back the cost of things like dentist and optical check ups
Enhanced maternity / paternity / adoption / shared parental pay
Life assurance: three times basic salary
Free breakfasts and fruit
Birthday surprise for everybody

Fulltime

Data Engineering Tech Lead/Architect

Andersen is hiring a Data Engineering Tech Lead/Architect in the EU to lead the ...

Location

Salary:

Not provided

Andersen

Expiration Date

Until further notice

Requirements

Experience as a Data Engineering Tech Lead/Architect for 6+ years
Ability to design complex systems, not just create reports
Expertise in MicroStrategy / Power BI (dashboards, semantic layer, data modeling) and Talend DMP (integration, ETL/ELT)
At least 6 months of experience with the MicroStrategy SDK, including embedding reports into Typo3 CMS and Java application servers (Tomcat)
Experience with Data Warehouse architecture, role-based access models, and incremental data loading
Understanding of regulatory reporting (Meldewesen) and ability to translate business requirements into technical solutions
Ability to work autonomously, make architectural decisions, and clearly explain them to stakeholders
Level of English – from Upper-Intermediate and above
Level of German – from Advanced and above

Job Responsibility

Designing data architecture from scratch, including modeling the data warehouse, defining security, performance, and data structure
Configuring and developing ETL/ELT processes in Talend DMP: integrating data from multiple sources (DB-Link, FTP, API), cleaning, transforming, and loading it into the data warehouse
Implementing Full-Load and Delta-Load strategies and optimizing data refresh workflows
Developing analytical reports and dashboards in MicroStrategy, including configuring the business-oriented semantic data layer
Designing and configuring a role-based data access model (Zugriffsberechtigung) at both BI and database levels
Participating in building the corporate reporting system (Meldewesen): understanding business needs and translating them into technical architecture
Consulting the customer on BI infrastructure design and optimization of business processes

What we offer

Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others
The opportunity to change the project and/or develop expertise in an interesting business domain
Guarantee of professional, financial, and career growth
The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities
Access to the corporate training portal
Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies)
Certification compensation (AWS, PMP, etc)
Referral program
English courses
Private health insurance and compensation for sports activities

Senior Data Engineer

Intratek Computer, Inc. is seeking a highly skilled and experienced Sr Data Engi...

Location

United States , Los Angeles

Salary:

Not provided

Intratek Computer, Inc.

Expiration Date

Until further notice

Requirements

Proficiency in WhereScape RED for data warehouse automation, including designing, building, and managing data warehouses
Expertise in Snowflake’s cloud data platform, including data loading, transformation, and querying using Snowflake SQL
Experience with SQL-based development, optimization, and tuning for large-scale data processing
Strong understanding of dimensional modeling concepts and experience in designing and implementing data models for analytics and reporting purposes
Ability to optimize data pipelines and queries for performance and scalability
Familiarity with Snowflake’s features such as virtual warehouses, data sharing, and data governance capabilities
Knowledge of WhereScape scripting language (WSL) for customizing and extending automation processes
Experience with data integration tools and techniques to ingest data from various sources into Snowflake
Understanding of data governance principles and experience implementing data governance frameworks within Snowflake
Ability to implement data quality checks and ensure data integrity within the data warehouse environment

What we offer

Medical benefits
Paid vacation
Paid holidays

Fulltime

Senior Data Engineering Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
Proficiency in Python, PySpark, SQL
Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment
Knowledge of data governance principles and best practices, including data privacy and security regulations

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
Workation. Enjoy working from inspiring locations in line with our workation policy
Great Place to Work® certified employer
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. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Grow as we grow as a company. 76% of our managers are internal promotions

Sap Btp Data Engineer

At LeverX, we have had the privilege of working on over 950 SAP projects, includ...

Location

Salary:

Not provided

LeverX

Expiration Date

Until further notice

Requirements

2+ years of experience designing and developing SAP data solutions within SAP and non-SAP enterprise landscapes
Strong knowledge of data modeling in Data Warehouses
Strong knowledge of the visualization patterns, approaches, and techniques in SAP and non-SAP landscapes
Understanding of Data Engineering solutions within the SAP BDC landscape, such as SAP Databricks
Proven experience in data transformation and integration with SAP ERP, S/4HANA, and equivalent external systems
Good understanding of SAP data integration techniques (SDI, SDA, APIs, ODP) and protocols (OData, REST, JDBC)
Bachelor’s degree in Computer Science, Information Systems, or equivalent
English B2+

Job Responsibility

Design, develop, and deploy enterprise data solutions on SAP BTP, integrating SAP and non-SAP systems
Analyze and resolve complex data and integration challenges, ensuring reliable and scalable solutions
Collaborate with data architects, functional analysts, and business stakeholders to translate requirements into data models, dashboards, and analytics
Lead small project teams (2–3 members) and contribute to cross-regional collaboration for consistent delivery
Facilitate client enablement through workshops, webinars, and hands-on sessions
Continuously grow expertise by staying current with SAP data and analytics technologies (e.g., SAP Business Data Cloud, AI/ML) and pursuing relevant certifications

What we offer

89% of projects use the newest SAP technologies and frameworks
Expert communities and internal courses
Valuable perks to support your growth and well-being
Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
Healthy work atmosphere: On average, our employees stay in the company for 4+ years

Data Warehouse Engineer

Robert Half

Location:
United States , Malvern

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 06, 2026

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