Data Engineer

New

Senior Data Engineer

Location

United States , Flowood

Salary:

Not provided

PhasorSoft Group

Expiration Date

Until further notice

Requirements

Experience with Snowflake or Azure Cloud Data Engineering, including setting up and managing data pipelines
Proficiency in designing and implementing ETL processes for data integration
Knowledge of data warehousing concepts and best practices
Strong SQL skills for querying and manipulating data in Snowflake or Azure databases
Experience with data modeling techniques and tools to design efficient data structures
Understanding of data governance principles and experience implementing them in cloud environments
Proficiency in Tableau or Power BI for creating visualizations and interactive dashboards
Ability to write scripts (e.g., Python, PowerShell) for automation and orchestration of data pipelines
Skills to monitor and optimize data pipelines for performance and cost efficiency
Knowledge of cloud data security practices and tools to ensure data protection

Job Responsibility

Design, implement, and maintain data pipelines and architectures on Snowflake or Azure Cloud platforms
Develop ETL processes to extract, transform, and load data from various sources into data warehouses
Optimize data storage, retrieval, and processing for performance and cost-efficiency in cloud environments
Collaborate with stakeholders to understand data requirements and translate them into technical solutions
Implement data security and governance best practices to ensure data integrity and compliance
Work with reporting tools such as Tableau or Power BI to create interactive dashboards and visualizations
Monitor and troubleshoot data pipelines, ensuring reliability and scalability
Automate data workflows and processes using cloud-native services and scripting languages
Provide technical expertise and support to data analysts, scientists, and business users

Fulltime

New

Lead Data Engineer

Our client, a leading energy company based in Edinburgh, Scotland, is seeking a ...

Location

United Kingdom , Edinburgh

Salary:

Not provided

Net Talent

Expiration Date

Until further notice

Requirements

Proven experience as a Data Engineer, with a focus on Python development and data pipeline architecture
Hands-on experience with Snowflake data warehousing platform
Experience working in a data management environment, ideally within a major client or enterprise setting
Strong understanding of data modelling, ETL/ELT processes, and data security standards
Demonstrated leadership capabilities, with experience mentoring or managing junior team members
Excellent communication skills and the ability to collaborate across various departments
Problem-solving mindset with a passion for innovative data solutions and continuous learning

Job Responsibility

Design, develop, and maintain scalable data pipelines and architectures to support business analytics and reporting needs
Lead and mentor a team of data engineers, ensuring best practices in data engineering methodologies and tools
Collaborate with cross-functional teams including data analysts, data scientists, and business stakeholders to understand data requirements
Implement data security, governance, and compliance standards across all data solutions
Utilise Snowflake for data warehousing solutions, ensuring optimal performance and security
Develop automation scripts and optimise data workflows for efficiency and reliability
Monitor and troubleshoot data pipelines to resolve issues promptly, ensuring data integrity and availability

What we offer

Excellent package on offer
supportive work environment
competitive salary
opportunities for professional development
collaborative culture that fosters growth and innovation

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

Senior Data Engineer

We are looking for a Senior Data Engineer with a collaborative, “can-do” attitud...

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
Strong analytical abilities and a strong intellectual curiosity

Job Responsibility

Collaborate with business stakeholders and other technical team members to acquire and migrate data sources that are most relevant to business needs and goals
Demonstrate deep technical and domain knowledge of relational and non-relation databases, Data Warehouses, Data lakes among other structured and unstructured storage options
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 in various forms, including custom ETL pipelines that enable model and product development
Efficient in ETL/ELT development using Azure cloud services and Snowflake, Testing and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance)
Work with modern data platforms including Snowflake to develop, test, and operationalize data pipelines for scalable analytics delivery
Provide clear documentation for delivered solutions and processes, integrating documentation with the appropriate corporate stakeholders
Identify and implement internal process improvements for data management (automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability)
Stay current with and adopt new tools and applications to ensure high quality and efficient solutions
Build cross-platform data strategy to aggregate multiple sources and process development datasets

Fulltime

We are looking for a Data Engineer with a collaborative, “can-do” attitude who i...

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
3+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment
3+ years of experience with setting up and operating data pipelines using Python or SQL
3+ years of advanced SQL Programming: PL/SQL, T-SQL
3+ 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
3+ 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
3+ 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
3+ years of experience in defining and enabling data quality standards for auditing, and monitoring
Strong analytical abilities and a strong intellectual curiosity

Job Responsibility

Collaborate with business stakeholders and other technical team members to acquire and migrate data sources that are most relevant to business needs and goals
Demonstrate technical and domain knowledge of relational and non-relational databases, Data Warehouses, Data lakes among other structured and unstructured storage options
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 in various forms, including custom ETL pipelines that enable model and product development
Efficient in ELT/ETL development using Azure cloud services and Snowflake, including Testing and operational support (RCA, Monitoring, Maintenance)
Work with modern data platforms including Snowflake to develop, test, and operationalize data pipelines for scalable analytics deliver
Provide clear documentation for delivered solutions and processes, integrating documentation with the appropriate corporate stakeholders
Identify and implement internal process improvements for data management (automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability)
Stay current with and adopt new tools and applications to ensure high quality and efficient solutions
Build cross-platform data strategy to aggregate multiple sources and process development datasets

Fulltime

Senior Data Engineer

We're seeking an experienced Senior Data Engineer to help shape the future of he...

Location

Germany , Berlin

Salary:

Not provided

Audibene GmbH

Expiration Date

Until further notice

Requirements

5+ years of hands on experience with complex ETL processes, data modeling, and large scale data systems
Production experience with modern cloud data warehouses (Snowflake, BigQuery, Redshift) on AWS, GCP, or Azure
Proficiency in building and optimizing data transformations and pipelines in python
Experience with columnar storage, MPP databases, and distributed data processing architectures
Ability to translate complex technical concepts for diverse audiences, from engineers to business stakeholders
Experience with semantic layers, data catalogs, or metadata management systems
Familiarity with modern analytical databases like Snowflake, BigQuery, ClickHouse, DuckDB, or similar systems
Experience with streaming technologies like Kafka, Pulsar, Redpanda, or Kinesis

Job Responsibility

Design and build robust, high performance data pipelines using our modern stack (Airflow, Snowflake, Pulsar, Kubernetes) that feed directly into our semantic layer and data catalog
Create data products optimized for consumption by AI agents and LLMs where data quality, context, and semantic richness are crucial
Structure and transform data to be inherently machine readable, with rich metadata and clear lineage that powers intelligent applications
Take responsibility from raw data ingestion through to semantic modeling, ensuring data is not just accurate but contextually rich and agent ready
Champion best practices in building LLM consumable data products, optimize for both human and machine consumers, and help evolve our dbt transformation layer
Built data products for AI/LLM consumption, not just analytics dashboards

What we offer

Work 4 days a week from our office (Berlin/Mainz) with a passionate team, and 1 day a week from home
Regularly join on- and offline team events, company off-sites, and the annual audibene Wandertag
Cost of the Deutschland-Ticket covered
Access to over 50,000 gyms and wellness facilities through Urban Sports Club
Support for personal development with a wide range of programs, trainings, and coaching opportunities
Dog-friendly office

Fulltime

Data Engineer

We are seeking a skilled Data Engineer to join a dynamic team in Oklahoma City. ...

Location

United States , Oklahoma City

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proven expertise with Snowflake Data Cloud, including schema design, performance tuning, and best practices
Proficiency in Python for scripting and data manipulation
Strong knowledge of SQL Server
Familiarity with ETL tools and data integration frameworks
Experience with data modeling and building data pipelines in cloud-based or hybrid environments
Strong analytical and problem-solving skills with an attention to detail

Job Responsibility

Design, develop, and maintain scalable data pipelines to support data integration and real-time processing
Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization
Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities
Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs
Monitor and troubleshoot data pipelines, resolving any performance or reliability issues
Ensure data quality, governance, and integrity by implementing and enforcing best practices

What we offer

Medical, vision, dental, and life and disability insurance
Eligibility to enroll in company 401(k) plan

Fulltime

Data Engineer

The Data Engineer is accountable for developing high quality data products to su...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

First Class Degree in Engineering/Technology/MCA
3 to 4 years’ experience implementing data-intensive solutions using agile methodologies
Experience of relational databases and using SQL for data querying, transformation and manipulation
Experience of modelling data for analytical consumers
Ability to automate and streamline the build, test and deployment of data pipelines
Experience in cloud native technologies and patterns
A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
Excellent communication and problem-solving skills
ETL: Hands on experience of building data pipelines. Proficiency in at least one of the data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
Big Data: Exposure to ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing

Job Responsibility

Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider architectural vision
Identify and help address potential risks in the data supply chain
Follow and contribute to technical standards
Design and develop analytical data models

Fulltime

Data Engineer – Snowflake & ETL

Right Angle Solutions

Location:
India, Hyderabad

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 11, 2025

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