Top Data Engineer Jobs in Belfast
DailyPay is seeking a Data Engineer II to join their Data Engineering Team. Responsibilities include building and maintaining ETL and data pipelines, producing data reports and analytics, designing data testing capabilities, optimizing database performance, and participating in code approvals.
DailyPay is seeking a Data Engineer II to build and maintain ETL and data pipelines, produce data reports and analytics, optimize database performance, participate in code reviews, and more. This role requires 5+ years of SQL experience and proficiency in BI tools like Tableau. Experience with cloud platforms and data architecture is a plus.
The Senior Data Engineer I at Pax8 designs, develops, tests, deploys, and maintains systems for data collection, transformation, storage, and management. They work on individual projects based on deadlines, collaborate with teams, and provide technical leadership in data system development. Responsibilities include building scalable data pipelines, mentoring junior engineers, and optimizing code quality. Ideal candidates have 4+ years of data engineering experience with expertise in Python, SQL, Apache Spark, Apache Kafka, and job orchestration tools.
Seeking a skilled Data Engineer to build and maintain scalable data products and ensure data architecture reliability. Responsibilities include designing and implementing data products, collaborating with teams, and ensuring data integrity. Requires a Bachelor's or Master's degree in Computer Science or related field, proven experience as a Data Engineer, and expertise in SQL, NoSQL, Python, Java, Scala.
Seeking an enthusiastic Entry-Level Data Engineer with a focus on AI to assist in designing, building, and maintaining data infrastructure that supports artificial intelligence and machine learning initiatives. Responsibilities include data pipeline development, data integration, AI & ML support, data monitoring, and troubleshooting. Preferred skills include practical knowledge of programming languages, SQL, AI frameworks, big data technologies, cloud platforms, data modeling, and strong analytical skills.
Specialist Development - Data Engineer role at Sun Life, a leading financial services company. Responsible for working with dynamic colleagues to provide financial security and wealth products and services to clients globally. Opportunity to contribute to innovative technology and asset management.
Develop high performance and scalable solutions to extract, transform, and load big data. Design, build, test, deploy cutting-edge solutions at scale. Support People Data applications, ensure data quality, and interact with engineering teams. Implement data quality checks, validation, and cleaning processes.
Transform raw data into actionable insights and drive innovation by designing and deploying production data pipelines within a big data architecture. Process large amounts of structured and unstructured data and integrate data from multiple sources on AWS cloud using AWS native or custom programming. Experience in data mining, machine learning, and natural language processing is an advantage.
The Data Engineer will support the build of AI capabilities across Inizio Medical by building scalable data pipelines, designing data architecture, maintaining CI/CD infrastructure, setting up data APIs, and collaborating with various teams and stakeholders.
As a Data Engineer at Walmart, you will be responsible for developing and maintaining data pipelines to support data science initiatives. You will work with a mammoth scale of data to create valuable data assets for retail analytics. Collaboration with Data Scientists, Analysts, and business stakeholders to solve complex challenges is crucial for evolving the retail business model.
The Data Engineer at Sovereign will be responsible for maintaining large historical data stores, cleaning data, and building tools for researchers to access data easily in different formats.
The Data Engineer III at Sam's Club Tech will work on building and supporting a sophisticated segmentation tool for marketing/advertising purposes, developing backend software services for advertising on Walmart.com, and maintaining APIs for advertisers to manage ad campaigns.
Develop high performance and scalable solutions for extracting, transforming, and loading big data. Design and deploy cutting-edge solutions at scale to drive value from data at Walmart. Support People Data applications ensuring Data Quality and Governance standards. Collaborate with engineering teams globally to ensure data accuracy and quality.
Design, build, test, and deploy cutting-edge solutions at scale impacting millions of customers worldwide. Develop high-performance and scalable solutions/APIs in Storm, Spark, and big data. Work on optimizing data pipelines and architectures involving petabyte and terabyte of data. Collaborate with engineering teams and engage with product management to drive the agenda and deliver product features. Analyze and test programs before launch, ensure software security, and seek ways to improve software effectiveness.
Seeking a talented Data Engineer to join a tech platform focused on health and well-being. Responsibilities include organizing data processing pipelines, optimizing resource usage, and developing the data platform's architecture. Required skills include Python, AWS, SQL, NoSQL, Apache Airflow, SnowFlake, and Looker. Minimum 7 years of experience with 4 years in data engineering.
Seeking a Data Engineer to design, develop, and implement data pipelines and solutions using Scala, Spark, and GCP. Responsibilities include data modeling, ETL processes, and ensuring data quality. Requires 3 years of experience and strong programming skills in Scala.
DailyPay is seeking a Staff Data Engineer to build and maintain the company's data infrastructure, design and implement data solutions, optimize database performance, and architect data lakehouse for internal and external client reporting. Requires 10+ years SQL experience, data engineering expertise, knowledge of cloud platforms, and experience with Python and dbt.
Develop high performance and scalable solutions that extract, transform, and load big data. Design, build, test, and deploy cutting-edge solutions at scale impacting millions of customers worldwide. Provide guidance and mentorship to junior data engineers and ensure data quality and governance standards are met.
As a Data Engineer at Edenred, design, develop, and maintain data pipelines and infrastructure on the AWS platform. Collaborate with business analysts, troubleshoot production issues, and continuously improve the data platform. Requires expertise in Python, SQL, AWS services, and data management within a datalake.
Senior Data Engineer role at N-iX, a software development service company specializing in developing successful software products. Responsibilities include creating production quality models, writing production level microservices, data wrangling, and implementing various technologies such as Python, AWS, and more. Strong communication, organizational skills, and mentoring experience are required. Offers competitive salary, personalized career growth, flexible working format, and professional development opportunities.
Seeking a talented Data Engineer to develop and maintain the data architecture of a fintech platform. Responsibilities include data integration, data modelling, and optimizing data pipelines. Requires strong problem-solving skills and collaboration with cross-functional teams.
Design, build, and manage data pipelines using Apache Spark and Scala. Utilize Google Cloud Platform for large-scale data processing systems. Analyze complex data sets and implement internal process improvements. Provide technical leadership and coaching to junior team members.
Lead Data Engineer responsible for designing and deploying production data pipelines, processing structured and unstructured data, working on AWS cloud technologies, leading teams in data solutions and applications.
Seeking a Data Engineer to design, develop, and maintain data solutions for analytics and business purposes. Responsibilities include data integration, processing, retrieval, and transformation to enable valuable insights for decision-making. The role requires collaboration with cross-functional teams to enhance data solutions leveraging modern tech stack.
Lead Data Engineer role at Superside, responsible for maintaining data pipelines, enhancing data operations, providing technical guidance, and staying up-to-date with data technology trends.
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