20 of 20 ETL Jobs in Northern Ireland

Good understanding with Microsoft BI toolset, including O365 tools and PowerPlatform (PowerApps/Power Automate/Power BI). • Good understanding of Azure cloud ETL toolset, including Azure SQL Server, Azure Data Factory, Datalake. • Familiar with Cloud technologies including Microsoft Azure Cloud infrastructure, data stores connections, cloud functions concepts. • Experience More ❯

data-focused roles. Proven expertise in designing and developing solutions using Microsoft technologies, such as Azure Data Factory, Synapse, and Power BI, or other ETL tools. Familiarity with advanced platforms like Microsoft Fabric or Databricks is strongly preferred. Experience leading multidisciplinary technical teams, including architects, engineers, and analysts, to deliver More ❯

Java, Go) Cloud experience (preferably Azure, though AWS or GCP also valuable) Solid grasp of SQL and experience handling large data sets Familiarity with ETL tools such as Fivetran and Azure Data Factory Experience with modern data pipeline design and stream processing Understanding of CI/CD pipelines and experience More ❯

for the client with a diverse and growing capability and they are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. There are a variety of different tools, cloud technologies and approaches and while More ❯

out management reports and dashboards, utilising data effectively across the organisation. Transform data sets into usable insights through the creation of robust and efficient ETL processes. Liaise with business teams to develop creative solutions which help solve problems, identify opportunities and add value to the business. Produce reports for senior More ❯

out management reports and dashboards, utilising data effectively across the organisation. Transform data sets into usable insights through the creation of robust and efficient ETL processes. Liaise with business teams to develop creative solutions which help solve problems, identify opportunities and add value to the business. Produce reports for senior More ❯

regulatory compliance (e.g., GDPR, CCPA), and datasecurity best practices. Proven experience inenterprise-level architecture design andimplementation. Hands-on knowledge of databasesystems (SQL/NoSQL), ETL/ELT processes, and data modelingtechniques. Exceptional leadership,communication, and stakeholder managementskills. Ability to work in fast-paced, agileenvironments and balance long-term strategy with More ❯

with scripting languages (Python, PowerShell) 3+ years of experience with data quality management and issue resolution 2+ years of experience with cloud DW/ETL solutions (e.g., Snowflake, DBT) Experience in Agile delivery environments Strong understanding of cloud concepts and data platform infrastructure Experience with automation, testing and monitoring of More ❯

in pre-sales activities such as leading the creation of proposals, tender responses, SOWs, and delivery of sales presentations. Experience of standard data engineering ETL processes. Microsoft Fabric or Databricks expertise is highly desirable. Ability to lead data analytics and data engineering workshops with senior stakeholders in the role of More ❯

activities such as leading the creation of proposals, tender responses, SOWs (Statement of Work) and delivery of sales presentations. Experience of standard data engineering ETL processes, along with best practice security roles and access Being able to lead data analytics and data engineering workshops with senior stakeholders in the role More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

a genuine difference to everyday life. Data Engineer Requirements Strong background in Data Engineering with relevant degree. Background working in consulting firms. Knowledge of ETL, data pipelines and automated workflows for moving and processing data. Hands on experience working with AWS platforms. Prior working experience with Snowflake. Familiarity with Data More ❯

Familiarity with cloud platforms (AWS, Azure, or GCP) and on-prem hybrid integrations. • Knowledge of event-driven architecture, messaging systems (Kafka, RabbitMQ, JMS), and ETL processes. • Experience with OAuth, JWT, SAML, and API security best practices. • Strong understanding of CI/CD tools (Jenkins, GitHub Actions, Azure DevOps, etc.). More ❯

Messaging technologies like MQ, KAKFA/ActiveMQ and proven experience with using them in a large scale environment. • Knowledge of handling high data volumes (ETL) using Spring Batch, Multi-Threading, Job Scheduling. • Solid knowledge of SQL in the context of a major RDBMS such as DB2, Oracle. • Exposure and hands More ❯

project management, user support/production support. Extensive relevant experience in IT Technology components ideally in Finance industry. Good to have Comprehensive knowledge of ETL Tools like Abinitio and Non SQL Database - MongoDb or equivalent. Ability to manage and coordinate with various Technology Teams (Development, Product Assurance and Production Support More ❯

planning migrations, establishing client relationships, and understanding industry-specific requirements. You should have experience in designing and implementing SAP BW solutions, developing data models, ETL processes, security, documentation, performance optimization, troubleshooting, and collaboration with technical teams. Certification in relevant technologies and experience with SAP data tools are preferred. Connect to More ❯

out management reports and dashboards, utilising data effectively across the organisation. Transform data sets into usable insights through the creation of robust and efficient ETL processes. ... More ❯

scale data solutions in a fast-paced, high-impact environment. This role is ideal for someone with a strong background in AWS cloud technologies, ETL pipelines, data warehousing, and big data architectures. The Role As a Data Engineer , you will: Design and deploy production data pipelines from ingestion to consumption … within a big data architecture. Work with technologies such as Python, Java, Scala, Spark, and SQL to extract, clean, transform, and integrate data. Build scalable solutions using AWS services like EMR, Glue, Redshift, Kinesis, Lambda, and DynamoDB. Process large volumes of structured and unstructured data, integrating multiple sources to create … on experience with AWS data and analytics services (or equivalent open-source technologies). Expertise in designing and building data lakes, data warehouses, and ETL pipelines. Strong understanding of data processing techniques, including stream and batch processing. Familiarity with data mining, machine learning, and natural language processing is a plus. More ❯

Core Skills: Nice to have skills: Minimum years of experience: 4-7 Yrs Areas of responsibility: Detailed Job Description: Should have expertise to develop ETL pipelines Should be able to design and develop Migration Engine using ETL tools Should be able to Build ETL infrastructure Should have hands on building More ❯

Role: Abinitio Developer Contract duration: 3-6 months Location: Belfast Minimum years of experience: 4-7 Yrs Job Description: Should have expertise to develop ETL pipelines Should be able to design and develop Migration Engine using ETL tools Should be able to Build ETL infrastructure Should have hands on building More ❯