58 Permanent jobs found for you

Are you passionate about building scalable data solutions, leveraging cutting-edge technologies, and collaborating with cross-functional teams?The team expanding and looking for a Senior Data Engineer to help  build systems that collect, manage, and convert raw data into usable information. This is your opportunity to join the Delivery Department of an Advanced Analytics Boutique Firm based in Athens. The company is a leader in providing integrated Busines

Junior Data Engineer to grow your technical expertise and step into leadership.Python, SQL, Snowflake, Azure Data Factory, Azure Synapse / FabricsCollaborate with senior engineers in a supportive Wellington environment. ABOUT THE ROLE Our client is looking for a Data Engineer to build and refine scalable Azure architectures using Data Factory, Synapse, and Fabric. You will work alongside a Senior Data Engineer, you will serve as a trusted advisor on critic

Are you a Senior Big Data Engineer with working experience in the Hadoop ecosystem? Does a fast growing multinational fintech company with millions of daily active users interest you? Then look no further, read more below and apply now for this Senior Big Data Engineer position!

Newly created rolePotential career advancement to become a Data Architect Exposure to new AI project/environmentabout the companyWe are seeking a highly proactive, self-driven Senior Data & AI Engineer to serve as the APAC Subject Matter Expert (SME), representing the region in our global data initiatives. This is a strategic role responsible for initiating and leading our new Artificial Intelligence (AI) Proof-of-Concepts (POCs) before moving on to crucia

关于公司科技关于团队IT关于职位1.端到端数据开发：设计、开发并维护高性能、可扩展的 ETL 管道。全面负责从原始数据摄取、清洗、转换到最终数据服务的完整生命周期 。2.数据建模与架构设计：领导并优化数据仓库建模（如维度建模、数仓分层设计），根据业务增长需求平衡系统的可扩展性与查询性能 。3.代码质量管理：制定并执行严格的开发规范与代码审查（Code Review）制度，持续优化现有代码逻辑，确保生产环境的系统稳定 。4.流程优化与创新：持续关注大数据前沿技术，主动发现现有架构的性能瓶颈并进行优化，利用新技术（如 LLM 应用）提升数据处理效能 。技能和经验要求1.具备 1 年以上ETL 开发、数据仓库或大规模数据处理经验 。2.拥有快节奏互联网公司背景，处理过高并发、海量数据场景者优先 。3.必须精通复杂 SQL 编写及性能调优 。4.熟练掌握 Spark、Hive、Hadoop、Kafka 等分布式计算与流处理框架 。5.精通 Google BigQuery、AWS Redshift 或 Snowfla

About The Company: Randstad is the #1 HR Services Provider in the world, and we are looking for a Data Engineer to join our Nearshore Center at Randstad Mexico. This is your chance to join a dynamic, collaborative, and fast-paced environment where your expertise will make a real impact!

Nå søker vi en data engineer til vårt kontor i Stavanger, vedkommende vil spille en viktig rolle i videreutviklingen av våre dataløsninger. Hos oss får du jobbe med samfunnskritiske løsninger der data, regelverk, fag og teknologi må fungere godt sammen. Dine ansvarsområder blir blant annet åbygge, forvalte og videreutvikle Sokkeldirektoratets datavarehus og dataplattform basert på interne og eksterne kilderoptimalisere dataflyt mellom systemer gjennom effe

Job Title Data Engineer Job Family SummaryAs a Data Engineer, you will join Genus and work within the Data Platform Engineering team alongsidethe Data Platform Product Owner and Senior Data Engineer. In addition, you will be collaborating withthe Data Operations Team and Data Enablement Team, along with Key stakeholders and other membersof the team, such as Data Architects and Analysts, to design and deliver advanced data engineeringsolutions that enable s

社名社名非公開職種データサイエンティスト業務内容Key ResponsibilitiesThe team is seeking a self-motivated and highly organized person with excellent analytical and technical skills to support business needs for data. This involves the implementation of an EDM (enterprise data management) solution and support of systems under the purview of the GDSS department. The role includes the following:Support the design and development of the EDM solution by reviewing the existing internal

Randstad Digital is hiring a  Data Engineer for direct integration, in a company located in Porto.Hybrid work model (3 days on-site; 2 days remote / week).

社名社名非公開職種データサイエンティスト業務内容データエンジニアとして、最先端技術を用いたデータ基盤構築に携わりませんか？■ご紹介する企業について国内大手製造業向けにデータプラットフォームを提供する急成長企業です。最先端の機械学習技術と独自のデータ分析力により、製造業のデジタルトランスフォーメーションを推進しています。革新的でチャレンジングな環境で、大きなインパクトを生み出せる環境です。■ポジション概要データ基盤の設計、構築、運用をリードする役割を担います。最先端技術を活用し、大規模データ処理パイプラインの構築、データ分析基盤の設計、そしてデータ活用戦略の推進に携わります。既存システムの改善から新規サービス開発まで、幅広い業務にチャレンジできる環境です。チームメンバーと連携しながら、データドリブンな意思決定を支える重要な役割を担います。■業務内容・大規模データ処理パイプラインの設計、構築、および運用・データ分析基盤の設計、構築、および改善・データ活用戦略の策定および推進・機械学習モデルの開発・運用のためのデ

Role summaryYou’ll enhance and scale the platform’s data layer: modeling, transformations, performance, and correctness. This role is hands-on and production-oriented.What you’ll doBuild curated datasets and optimize Snowflake performance/costDesign incremental pipelines, backfills, and reconciliation processesImplement monitoring and data validations tied to SLAsCollaborate with API/analytics consumers on stable contracts and documentationImprove operatio

社名社名非公開職種データベースエンジニア業務内容【WHO YOU'LL WORK WITH】You will be based in Tokyo and will be part of a global data engineering community and you will work in cross-functional and Agile project teams alongside project managers, data scientists, machine learning engineers, other data engineers, and industry experts.You will work hands in hands with our clients, from data owners and users to C-level executives.【WHAT YOU'LL DO】・Partner with our clients, from data owne

Who we are:Randstad Sourceright’s global talent solutions provides instant access to experienced recruitmentand contingent workforce management support by combining technology, analytics and deepglobal and local expertise. Our operations consist of the client aligned service delivery teamsoperating across RPO, MSP and Blended Workforce Solutions. We are certified as a “great place towork” for the last 3 consecutive years and are recognized as the best plac

Growing and stable companyAble to work independentlyRegional portfolio: SG/MY/THAI/VIET/INDO/PHabout the companyThe role will sit directly within the supply chain team to ensure data architecture is deeply connected to business operations. You will be the technical backbone for the Supply Chain and Finance teams, transforming raw data from various sources into the fuel for our business intelligence. about the jobDesign and maintain scalable data pipelines

社名社名非公開職種データサイエンティスト業務内容グループ グローバル ジャパン 共通システムの導入／運用に加え、 コンサルティング社内システムの管理、データ・デジタル環境の整備と活用サポートを担っています。 ITマネジメントチームのテクノロジー担当として、以下の業務を担当します。・分析用データ基盤構築データレーク(Azure Data Lake Storage 、データウェアハウス・データマート 、 ETL パイプラインを設計・実装・運用。・データ資産の洞察、発見データカタログ(Microsoft 導入。データ品質の確保とデータガバナンス：各種ガイドラインを整備、運用。・生成AI サービス（ Azure OpenAI Service ）構築された既存システムの運用保守、クリエイティブなシステムの新規作成チャレンジ。求められる経験【必須スキル・経験】以下の複数の領域で、3年以上の実務経験をお持ちの方を求めています。・データ基盤の構築・運用経験（データエンジニアとして、データレイク、DWH（データウェアハウス）

 Should have a minimum 2+ years in Data Engineering, Data Analytics platform. Should have strong hands-on design and engineering background in AWS, across a wide range ofAWS services with the ability to demonstrate working on large engagements. Should be involved in Requirements Gathering and transforming them to into Functionally andtechnical design. Maintain and optimize the data infrastructure required for accurate extraction, transformation, andloa

Gather and process raw data at scale. Defining data retention policies. Work closely with our data science team (ad hoc analysis of the data). Acquire data from primary or secondary sources and maintain databases/systems. Create data sets and tables to store data. Work on data Analysis, modeling and architecture.Make and test database schema changes when needed. Identify user needs to create and administer the data lake. Ingest and move data between databa

Expertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security Expertise with Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role pla

Collaborate with Product teams ensuring that raw data is cleansed and transformedand useable by downstream consumers (ML Engineers, BI analytics) Expect level PL-SQL  Assist and advise on the re-development and modernisation of end-to-end ETLpipelines and introduce new technologies where appropriate in a real-time streamingenvironment dealing with very large data volumes Working with AWS cloud infrastructure (specifically SQS, SNS, Redshift,OpenSearch,

Bachelor’s or Master’s in Computer Science, Engineering, or a related field5+ years of total experience in data engineering or similar rolesProven ability to connect technical solutions with business objectivesStrong communication and stakeholder management skillsRequired Technical SkillsCore Stack: Python, SQL, AWS (Glue, S3, Redshift, Lambda), SnowflakeETL Tools: Airflow or similar orchestration frameworksData Modeling & Warehousing: Star/Snowflake schem

Are you a technical leader ready to turn data challenges into innovative solutions? On behalf of our client, we are seeking a Senior Data Engineer to join their Data Platforms team within Digital & Technology Solutions (DTS). In this role, you will lead the design of high-performing data solutions and mentor the next generation of technical talent.Your Key ResponsibilitiesIn this senior-level position, you will:Lead & Design: Independently lead the design

We are looking for a skilled Data Engineer whose primary focus will be:Provide engineering (DevOps, Cloud, Data ETL/ELT etc.) support to the project teamWorking with Kafka, Kinesis and event-driven processing- API data ingestion and transformation (REST)- Works with Lambda, Step Functions, SNS/SQS- Assists with Glue Job development & automationPerform GxP validation/qualification activities.experience20

社名社名非公開職種ITプロジェクトマネージャー業務内容Architecture & InfrastructurePlatform Design: Architect and implement scalable, production-grade data platform components using AWS, Databricks, and modern data stack patterns.IaC Management: Develop and maintain Infrastructure as Code (IaC) to ensure environment standardization, reproducibility, and automation.Data Engineering & OperationsPipeline Leadership: Lead the development of critical data pipelines, ensuring they adhere

关于职位1. Snowflake 核心管理：管理 Snowflake 环境的各个方面，包括用户配置、基于角色的访问控制 (RBAC) 和安全策略。2. 性能与成本管理：主动监控并优化虚拟仓库、查询性能和存储，以确保平台的效率和成本效益。3. 数据管道与数据导入：监督、管理和监控从各种来源导入 Snowflake 的数据流程，确保可靠性和数据完整性。4. dbt 模型开发：创建、维护和修改 dbt 模型，以支持管道中的数据转换、业务逻辑和报表需求。5. 数据库管理：负责数据库、模式、视图和其他对象的创建和维护。6. SQL 优化：作为团队的 SQL 专家，协助分析复杂查询、识别瓶颈并提出优化建议。7. 支持与故障排除：作为所有 Snowflake 相关支持、访问和管理问题的主要联系人。8. 持续改进：及时了解 Snowflake 的新功能和最佳实践。保持好奇心，乐于学习新技术，以帮助改进我们的数据架构。技能和经验要求1. 拥有 Snowflake 管理员或类似数据仓库角色（例如，数据工程师、分析工程师）的丰富

Cégleírás / Organisation/DepartmentWe are looking for an experienced Senior Data Engineer to design, build, and operate scalable cloud-based data solutions supporting analytical and business-critical use cases.Pozíció leírása / Job descriptionPipeline Development: Design, implement, and maintain scalable data pipelines and transformation workflows.Data Modeling: Develop and manage analytical data models using SQL-based frameworks, translating business requ

about the companyWe are collaborating with a leading Global Logistics Technology platform dedicated to transforming how goods are moved across international borders. With a focus on scale and innovation, we manage high-volume operations while maintaining a deep commitment to user privacy and international compliance standards. Our technology team is the backbone of our global presence, ensuring that our logistics network remains efficient, secure, and data

Randstad Digital Talent Services divisione specializzata nella ricerca, selezione e formazione di profili IT di Randstad Italia, ricerca per importante software house un Backend & Data Engineer  Retribuzione annua: 34000€ - 40000€esperienza2 anni

A Randstad Digital é a área de negócio do Grupo Randstad especializada em recrutamento de quadros médios e superiores. O nosso cliente é um Tech Hub internacional e está à procura de um/a a Project Manager - Data Engineer para integração em cliente final no sector de tecnologias de informação, localizado em Lisboa.

Data Data Engineer About Woodside Energy  We are a global energy company, providing reliable and affordable energy to help people lead better lives. Join our team at Woodside Global Solutions in Bengaluru where talent, digital expertise, and operational excellence converge to solve complex energy challenges, accelerate change, and reimagine business capabilities to support Woodside's global operations and our role in the energy transition. Founded in 1954,