Data Engineer Job at Arthur Lawrence

Data Engineer

Location

Bulgaria; Georgia; Lithuania; Mexico; Moldova; Poland; Romania; Ukraine

Salary:

Not provided

Coherent Solutions

Expiration Date

Until further notice

Requirements

3+ years of experience as a Data Engineer
Solid proficiency in SQL
Experience working in Azure cloud environment
Experience with Azure SQL Pools
Strong understanding of performance tuning for data workloads
Experience working in Azure cloud environment
Excellent communication skills
English level: B2 (Upper-Intermediate) or higher

Job Responsibility

Develop and maintain data pipelines in the Azure environment
Work with Azure SQL Pools for data storage and processing
Write and optimize SQL queries
Perform performance tuning for queries and data workflows
Collaborate with a team of engineers on Databricks-based solutions
Build and orchestrate data workflows using Synapse Pipelines / Azure Data Factory
Ensure reliability and consistency of data pipelines

What we offer

Technical and non-technical training for professional and personal growth
Internal conferences and meetups to learn from industry experts
Support and mentorship from an experienced employee to help you professional grow and development
Health insurance
English courses
Sports activities to promote a healthy lifestyle
Flexible work options, including remote and hybrid opportunities
Referral program for bringing in new talent
Work anniversary program and additional vacation days

Fulltime

Data Engineer

The Associate Data Engineer is an entry level role within the Data Engineering j...

Location

Malaysia , Selangor Darul Ehsan, Selangor

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Knowledge of the definition and management of scoping requirements, definition and prioritization activities
Understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
Knowledge of Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
Understanding of data architecture landscape between physical and logical data models
Analytical mindset with good 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
Programming languages (Perl, bash, Shell Scripting, Python, etc.)
Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
Basic experience as a data engineering, data mining within a fast-paced environment

Job Responsibility

Supports the creation of data models in a structured data format to enable analysis thereof
Assists with the design and development of scalable extract, transform 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. Interpret installation standards to meet project needs and produce database components as required
Takes direction from various stakeholders to create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
Assists with running data migrations across different databases and applications, for example, MS Dynamics, Oracle, SAP and other ERP systems
Supports the definition and implementation of data table structures and data models based on requirements
Takes part in analysis, and development of ETL and migration documentation
Receives detailed instructions from various stakeholders to evaluate potential data requirements
Assists with the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives
Takes direction from various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models

Fulltime

Data Engineer

We are looking for a Data Engineer to join a long-term contract opportunity base...

Location

United States , Austin

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Senior-level experience in data engineering, data architecture, or a closely related discipline
Extensive hands-on background designing and building ETL and ELT solutions in modern cloud data environments
Demonstrated experience working with Snowflake and transformation tooling such as DBT
exposure to Matillion or similar platforms is highly valued
Ability to translate conceptual architecture into practical, maintainable implementation patterns with minimal supervision
Solid understanding of data integration tradeoffs across application-to-application flows, warehouse-centric design, and operational reporting needs
Proven ability to document technical standards, communicate design rationale, and support knowledge transfer to internal teams
Comfortable partnering with architects, BI leaders, integration specialists, and business stakeholders in a collaborative setting

Job Responsibility

Convert architectural guidance into scalable data pipeline designs and warehouse implementation patterns that support consistent delivery
Build and maintain workflows that ingest source data, prepare it for downstream use, and organize it across raw, staging, curated, and consumption layers
Assess integration approaches and recommend when data should move directly between applications versus through the warehouse for better governance and reuse
Create repeatable standards for orchestration, transformation, testing, monitoring, documentation, and support handoff
Develop and support cloud data warehouse solutions using Snowflake, Matillion, DBT, or comparable data engineering tools based on platform needs
Collaborate closely with integration and cross-functional team members to explain technical choices, guide implementation decisions, and strengthen team capability
Produce clear documentation covering data flows, lineage, dependencies, architecture decisions, and operational expectations
Deliver hands-on engineering leadership that enables durable solutions without creating long-term dependency on external support

What we offer

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

Data Engineer

We are looking for an experienced Data Engineer to join a team delivering modern...

Location

United States , Poughkeepsie

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Hands-on experience building data engineering solutions with Databricks and Apache Spark
Strong programming ability in Python, including development of ETL and data transformation workflows
Knowledge of lakehouse and big data technologies such as Delta Lake, Apache Hadoop, and Apache Kafka
Experience working with Azure Data Lake Storage Gen2 or comparable cloud-based data storage platforms
Ability to optimize distributed data processing jobs and troubleshoot performance issues in Spark environments
Familiarity with data governance, data quality, and security practices for enterprise data platforms
Comfortable working independently and collaborating with cross-functional teams in an agile delivery model
Proven ability to analyze technical problems, break them into manageable components, and implement effective solutions.

Job Responsibility

Create and support scalable data pipelines in Databricks using Spark technologies such as PySpark or Scala to process and deliver high-quality data
Develop lakehouse architectures on Azure Data Lake Storage Gen2 and ensure strong integration with Databricks for efficient data management
Establish and monitor data quality controls and governance practices within the platform using validation methods and Delta Lake capabilities
Investigate pipeline and application inefficiencies, then implement tuning strategies to improve Spark and Databricks performance
Work closely with analysts and other stakeholders to translate business data needs into refined, analytics-ready datasets
Automate ingestion, transformation, testing, and release processes, including integration with CI/CD workflows where appropriate
Provide guidance to less experienced engineers by sharing best practices for Databricks development, optimization, and support
Maintain clear technical documentation for notebooks, workflows, data models, configurations, and operational procedures
Protect data assets by applying security controls and compliance standards across the Databricks environment
Contribute to design sessions, solve complex data issues, and uphold change management and data integrity standards while delivering large assignments on schedule

What we offer

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

Fulltime

Data Engineer

Are you ready to architect the data foundation that drives our dynamic, consumpt...

Location

United States , Exton

Salary:

Not provided

Bentley Systems

Expiration Date

Until further notice

Requirements

A bachelor's degree in computer science, Engineering, Mathematics, or a related field, or equivalent practical experience as a Data Engineer
3+ years of hands-on experience as a Data Engineer, proven, impactful track record in a Data Engineer or heavily related data architecture role
High proficiency in writing and optimizing SQL and Python
Deep, hands-on experience with modern cloud data platforms and tooling, specifically Snowflake, dbt, Fivetran, and SQL Server
Exceptional problem-solving capabilities, meticulous attention to detail, and the ability to thrive both autonomously and within a highly collaborative remote team

Job Responsibility

Pipeline Engineering: Design, build, and optimize scalable ELT/ETL pipelines to ingest, process, and transform massive volumes of structured and unstructured data
Data Integration: Architect and maintain seamless integrations across diverse internal and external data sources, including databases, APIs, and business application software
Governance & Security: Champion data integrity and accuracy
Implement rigorous security measures and ensure strict adherence to financial data regulations, including SOX compliance
Infrastructure Management: Proactively monitor system performance, troubleshoot bottlenecks, and continuously optimize the data infrastructure for maximum scalability, speed, and cost-efficiency
Cross-Functional Collaboration: Partner closely with data scientists, business analysts, and leadership to capture requirements and deliver high-quality, reliable, and curated datasets
Continuous Innovation: Maintain comprehensive documentation for data models and pipelines
Stay ahead of industry trends and introduce cutting-edge methodologies and tools to our stack

What we offer

A great Team and culture
An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction
An attractive salary and benefits package
A commitment to inclusion, belonging, and colleague well-being through global initiatives and resource groups
A company committed to making a real difference by advancing the world's infrastructure for a better quality of life, where your contributions help build a more sustainable, connected, and resilient world

Fulltime

Data Engineer

We’re seeking a Data Engineer to design and build scalable data pipelines in a m...

Location

United States , Jacksonville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience with Azure Data Factory + Databricks
Strong skills in SQL and Python
Knowledge of data modeling (star/snowflake schemas)
Experience with data lakes, data warehouses, and cloud storage
Understanding of ETL/ELT best practices

Job Responsibility

Build and maintain ETL/ELT pipelines using Azure Data Factory
Develop data solutions in Azure Databricks (PySpark / Spark)
Optimize data processing performance and cost efficiency
Work with structured and unstructured data across cloud platforms
Collaborate with analytics and business stakeholders to define data requirements
Ensure data quality, governance, and documentation

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan
Free online training

Data Engineer

We are looking for a Data Engineer to join a financial services organization in ...

Location

United States , Greer

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Hands-on experience building and maintaining data pipelines using Snowflake
Practical knowledge of Apache Kafka for streaming or event-based data ingestion
Experience working in cloud-based data environments with a focus on scalable architecture
Familiarity with Azure Databricks and its role within broader data engineering ecosystems
Understanding of data quality, monitoring, and observability practices in production environments
Ability to troubleshoot pipeline failures and resolve performance or reliability issues efficiently
Experience following engineering best practices for version control, testing, and deployment
Exposure to AI-assisted development tools such as Claude or similar coding support platforms

Job Responsibility

Design, build, and deliver end-to-end data pipelines in Snowflake that support business reporting and data consumption needs
Create new ingestion and transformation workflows while troubleshooting pipeline issues to improve stability and performance
Contribute to a delivery model that balances new development with targeted optimization of existing data assets and workflows
Implement streaming and event-driven ingestion patterns using Kafka to support timely and scalable data movement
Improve observability across the data ecosystem by strengthening monitoring, alerting, and data quality controls
Help simplify legacy data processes by reducing technical debt and modernizing outdated pipeline components
Apply sound software engineering standards, including maintainable code, documentation, and repeatable development practices
Support the advancement of testing and CI/CD processes by helping establish more consistent engineering workflows
Leverage AI-assisted development tools to accelerate coding, validation, and technical documentation where appropriate

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan

Fulltime

Data Engineer

We are looking for a Data Engineer to join a financial services organization in ...

Location

United States , Greer

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Hands-on experience building and supporting data pipelines in Snowflake
Working knowledge of Apache Kafka for event-driven or streaming data ingestion
Experience in data engineering within a cloud-first environment
Familiarity with Azure Databricks and its role in broader data platforms
Ability to follow engineering best practices across development, testing, and deployment workflows
Understanding of data quality, monitoring, and observability concepts in production data systems
Comfortable working in an environment with a mix of modern and legacy data processes
Exposure to AI-assisted development tools such as Claude or similar coding and documentation assistants

Job Responsibility

Design, build, and deliver end-to-end data pipelines in Snowflake to support business and analytics needs
Create new data integration workflows while troubleshooting and resolving issues in existing pipelines
Apply sound engineering practices for coding, documentation, testing, and deployment to improve consistency and maintainability
Balance hands-on development of new solutions with optimization work that improves performance, stability, and efficiency
Develop streaming and ingestion processes using Kafka to enable timely and dependable data movement
Strengthen observability and data quality controls so pipeline health and accuracy are easier to monitor and maintain
Help reduce technical debt by simplifying legacy data processes and modernizing pipeline design where appropriate
Contribute to AI-assisted engineering efforts by using approved tools to accelerate development, testing, and documentation activities

What we offer

Medical
Vision
Dental
Life and disability insurance
401(k) plan

Fulltime

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