Top Data Engineer Jobs in Dublin
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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.
The Data Engineer at Awin plays a crucial role in collecting, cleansing, and transforming data for analysis and reporting. Responsibilities include writing clean code, troubleshooting data transformation errors, creating new data pipelines, enhancing data points, and ensuring data quality. Ideal candidates have a Bachelor's degree in data-related fields, 2+ years of data engineering experience, proficiency in Azure technologies, and strong analytical and communication skills.
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.
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.
Join DuPont as an HR Analytics Data Developer in the People Analytics team. Be part of a premier multi-industrial company delivering sustainable solutions and empowering the world with essential innovations. Experience a collaborative environment and have the opportunity to chart your own career path while contributing to the company's growth.
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 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.
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.
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.
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.
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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Build and maintain highly scalable and efficient data pipelines for messaging data platforms, internal engineering solutions, and real-time decision-making. Collaborate with teams to understand data requirements, optimize data solutions, troubleshoot issues, and stay updated on emerging technologies in data engineering.
Looking for a Senior Data Engineer to help manage the growth of the company by building infrastructure, data pipelines, and products. The role involves working with a multidisciplinary team to enable data science and feature development teams to create better products and deliver more value to clients.
Design and implement data pipelines, develop data models, write ETL jobs, collaborate with stakeholders, and monitor data pipelines for a B2B sales platform.
Lead and drive the execution of multiple business plans and projects related to data engineering. Implement new architectural patterns and promote high standards of code quality and system reliability. Must have strong hands-on experience with Hadoop, Hive, Apache Spark, and expertise in cloud computing platforms such as Google Cloud Platform (GCP).
Seeking a Senior Data Engineer specialized in Databricks to lead a data transformation program, develop scalable data solutions, and automate processes using generative AI techniques. Responsibilities include architecting data solutions, building data pipelines, optimizing models, and collaborating with cross-functional teams. Must have over 6 years of experience in Data Engineering with expertise in Azure and Databricks technologies.
Seeking a Senior Data Engineer to optimize data collection and flow, automate processes, develop BI solutions, and maintain data models. Requires SQL, UNIX, Python, GCP, BI platform proficiency, and problem-solving skills.
Seeking a Senior Data Engineer with 5+ years of experience in data engineering. Responsibilities include working with fast-paced companies on data transformation using Google Cloud, ETL/ELT, data warehousing, distributed data processing, and streaming data systems. Skills required include Python, JVM language, SQL, cloud data warehouses, GCP tools, and experience with various data engineering tools and practices.
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