Data Scientist

Data Engineer / Senior Data Engineer

PML Programmer

Data Modeler

Data Engineer / Senior / Supervisor

Senior Analyst - Business Intelligence (Digital Analyst)

Data Engineer

ASC - Downstream Data Scientist

ASC - Data Scientist

Software Developer

Responsibilities: <ul><li>Implement business process improvements - automating manual processes, optimizing data delivery, redesign/restructure data and process flows for more efficiency.</li><li>Develop expertise and aim to become a subject matter expert on the entire data, analytics and process automation ecosystem.</li><li>Bridge process and technology gaps with innovative solutions using a variety of tools (e.g. Power Automate, Python, PowerApps, Selenium, SQL, UI Path etc.)</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data management.</li><li>Create visually appealing, intuitive and insightful dashboards and reports using data visualization tools (e.g. Power BI, Tableau).</li><li>Utilize statistical techniques to solve business problems and provide insights.</li><li>Present findings and recommendations to stakeholders in a clear and concise manner.</li><li>Collaborate with cross-functional teams to understand their data and process needs and provide analytical and digitization support.</li><li>Collaborate with DBAs, IT and Architecture teams as required</li><li>Be heavily involved in development and testing of newly integrated data sources and/or environments</li><li>Document data processes, methodologies, and analysis techniques for future reference and training purposes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Industrial Engineering or a related field.</li><li>2+ years of experience as a Data Analyst, Digital Transformation Analyst or in a similar analytical/technical role preferably in a procurement or supply chain environment.</li><li>Experience with automation tools such as Power Automate, PowerApps, UI Path, Python, Selenium etc.</li><li>Experience with creating and managing databases in AWS, SQL Server, Oracle etc. and working with APIs to integrate systems.</li><li>Possess transferrable programming skills in any language (e.g. Python, C++, JavaScript etc.)</li><li>Proficiency in SQL for database querying and manipulation.</li><li>Experience with statistical analysis software (e.g., R, Python).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Knowledge of Excel at an advanced level (Power query, macros).</li><li>Demonstrable willingness to learn new tools and technologies.&nbsp;</li><li>Strong analytical and critical thinking abilities.</li><li>Ability to explain technical processes to non-technical audiences.</li><li>Attention to detail and a proactive approach to problem-solving.</li><li>Ability to manage multiple projects and meet deadlines in a fast-paced environment.</li><li>Knowledge of machine learning algorithms and data modelling techniques.</li></ul>

Responsibilities: <ul><li>In this role, you will dive deep into the realm of IoT data, striving not only to predict equipment failures but also to gain a comprehensive understanding of the maintenance processes currently implemented across the 60+ countries where operates.&nbsp;</li><li>Your expertise will be instrumental in delivering actionable insights and innovative ideas aimed at extracting even greater value from our data for the benefit of our customers.</li><li>All decisions and recommendations should be backed by data.&nbsp;</li><li>While doing this, you get to solve challenging problems, experiment with generative AI and predictive analytics, and work with cutting-edge tools offered to us .&nbsp;</li><li> Responsible for delivering thousands of valuable insights each day to enhance the customer experience, underscoring the significance of your role in handling production workloads in the AWS cloud environment.</li><li>Design, build, and maintain scalable data pipelines to collect, process, and store data from various sources</li><li>Create and manage data models to ensure data integrity and accessibility for analytics and reporting.Optimize and maintain databases (SQL, NoSQL) to ensure high performance and availability.</li><li>Implement data validation and monitoring processes to ensure data accuracy and reliability.</li></ul> Requirements: <ul><li>Degree in Software side - IT, CSC, BTech, MTech, MCA, Specialization in Data Science, Data engineering. Avoid candidates with Educational background in mechanical, civil and electrical engineering.&nbsp;</li><li>4+ years of data engineering experience.</li><li>Should be able to explain relevant experience in products or services worked for. Need candidates from service or product industry - data management / data analysis.&nbsp;</li><li>Proficiency with AWS, GitLab CI/CD, Databricks, Python, SQL, PySpark, and DBT</li><li>Experience with AWS Components</li><li>Experience in developing and maintaining data pipelines on AWS and Databricks</li><li>Coding proficiency with Python and SQL</li><li>Should have experience in generating reports from Dashboards like power BI, Tableau Qlik sense</li><li>Experience with software testing practices and DevOps practices</li><li>Understanding of cybersecurity guidelines, data privacy and compliancy regulations</li><li>Experience in working with IoT telemetry data, enterprise data landscapes and data structures</li><li>Experience in data engineering methods and practice</li><li>Experience in data engineering process improvements</li><li>Experience with industry best practices and technical design principles</li><li>In-depth process and data knowledge for the business domain</li><li>Additional responsibilities such as leading task forces and defect triages.&nbsp;</li></ul>

Role Description:&nbsp; <ul><li>A PML Programmer will be responsible for the administration, configuration, and support of the AVEVA E3D software platform.&nbsp;</li><li>The ideal candidate will have strong expertise in PML, C#, and Python, with additional programming languages being advantageous if the candidate is proficient in them. In addition, experience in macro generation and customization of the user interface is preferred.</li></ul> Responsibilities:&nbsp; <ul><li>Development: Design, develop, and maintain applications using PML, C# coding, including Aveva E3D, Aveva Engineering, Aveva Instrumentation, Aveva P&amp;ID and other related software.</li><li>Customization: Customize Aveva applications to meet specific project requirements, including the development of macros, scripts, and plugins.</li><li>Integration: Integrate Aveva tools with other enterprise systems and software, ensuring seamless data flow and interoperability.</li><li>Support: Provide technical support and troubleshooting for Aveva applications, resolving issues promptly to minimize downtime.</li><li>Documentation: Create and maintain detailed technical documentation for developed solutions, including user manuals, technical specifications, and workflow diagrams.</li><li>Collaboration: Work closely with project managers, engineers, and other stakeholders to gather requirements, provide status updates, and ensure successful project delivery.</li><li>Training: Conduct training sessions for end-users and team members on Aveva tools and developed solutions.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science/Engineering or a related field</li><li>Proven experience in developing and customizing applications using PML 1 &amp; 2, PMLNET, C#, .NET Framework. (Must Have)</li><li>Experience with Aveva E3D, Aveva Engineering, Aveva Instrumentation, Aveva P&amp;ID, TEKLA and other related software.</li><li>Experience with SQL databases and writing complex queries.</li><li>Experience with CAD software and 3D modeling.</li></ul> Other Requirements: <ul><li>Object Oriented design and development. (Must have)</li><li>Microsoft .NET Framework 4.5+, WPF, WCF. (Must have)</li><li>Expert in creation of Standalone application to do scheduled tasks combination of SQL, SAP data and Dabacon database. (Must have)</li><li>Knowledge of industry standards and best practices in engineering and design. (Must have)</li><li>Strong programming skills in languages such as C#, VB.NET, Python, or similar.</li><li>Windows Application Development using .NET WinForms.</li><li>Familiarity with cloud platforms and services such as AWS or Azure.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong understanding of software development life cycle (SDLC) and Agile methodologies.</li><li>Ability to work independently as well as collaboratively in a team environment.</li><li>Strong communication and interpersonal skills.</li></ul>

Responsibilities: <ul><li>Responsible for designing and implementing data modeling solutions using relational, dimensional, and NoSQL databases.&nbsp;</li><li>Working closely with data architects, to develop bespoke databases utilizing a mixture of conceptual, physical, and logical models</li><li>Implement best practices for data modeling, including normalization and de-normalization techniques.</li><li>Collaborate with cross-functional teams to understand data requirements and translate them into effective data models.</li><li>Perform data profiling and analysis to ensure data quality and integrity.</li><li>Optimize data models for performance and scalability.</li><li>Maintain and enhance existing data models to accommodate new data sources and business requirements.</li><li>Document data architecture, data dictionaries, and metadata standards.</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Systems, or a related field.</li><li>3-4 years of experience in data modeling roles, preferably in designing data warehouses.</li><li>Strong understanding of relational database concepts and experience with SQL.</li><li>Experience with data modeling tools (e.g., Erwin, ER/Studio, PowerDesigners).</li><li>Knowledge of normalized, de-normalized and dimensional data modeling techniques.</li><li>Familiarity with the travel industry or retail sector and related data structures is a plus.</li><li>Ability to communicate effectively with technical and non-technical stakeholders.</li><li>Strong analytical and problem-solving skills.</li></ul>

Role Description:The Data Engineering Senior Supervisor will lead a small team of data engineering professionals to design, build and operate high performance data centric products or solutions through the use of modern engineering practices and technologies.In this role, you will provide guidance to ensure the delivered data centric products or solutions are scalable, sustainable and robust.You will also lead team development and cross team relationships and delivery to advance the company's engineering delivery.Responsibilities:Lead a local or regional team of engineering professionals that design, develop, deploy and enhance new and existing data centric products or solutions through the use of modern platforms and technologies.Provide routine inputs and guidance to the data engineering team on business requirements analysis, technical specification's preparation, product delivery, testing and operation to support businesses strategic direction.Coach engineers, share relevant technical approaches, identify new trends, modern skills and present new methodologies within the data engineering community.Lead and develop a team, coach and make decisions related to talent management, hiring, performance, and disciplinary actions.Other duties as assignedRequirements:Minimum QualificationsBachelor's degree in a related field or equivalent experience.Minimum of four years of related work experience.Minimum of two years leading a team of Data Engineers.Preferred QualificationsConfirmed data engineering experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.Experience leading Big Data engineering teams working in environments such as Hadoop and SparkExperience leading technology strategies with cloud Platforms including AWS, GCP or AzureExperience leading engineering teams working in streaming and stream integration or middleware platforms, tools, and architectures such as Kafka, Flink, JMS, or Kinesis.Confirmed knowledge of best practice patterns and how to apply them to modern data architectures, including data warehouses, data lakes, data mesh, hubs and associated capabilities including ingestion, governance, modeling, observability and more.Experience leveraging transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks including dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others.Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent.Proficiency in engineering tooling including docker, git, and container orchestration services.Strong experience leading devops teams with demonstratable understanding of associated best practices for code management, continuous integration, and deployment strategies.Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption.A passion for quality and continuous improvement with an owners mindset.Ability to work effectively as part of a team, group and cultureAbility to navigate ambiguity and work in agile ways.

Responsibilities:Run E2E analytics projects from gathering business needs to validating hypothesis to output delivery, data visualization and generating value by providing data analysis-to-actionable insights.Understand complex and diverse technology infrastructure and identify sources and tools needed.Develop logical and conceptual data flows that are in support of project requirements and advise appropriate and effective use of data.Communicate and present technical information to non-technical stakeholders.Provide orientation and training to end users.Provide commercial perspective & guidance to junior staff members working on individual use cases.Project & stakeholder management activities, maintaining documentation to support line manager and update stakeholders on project status & risks.Requirements:4+ years of experience in analytics tools & technologies or processes.Exceptional collaboration and communication skills, be able to convert stakeholders needs to real business problems.Ability to operate clearly in an ambiguous environment; ability to influence.Data science experience is a plus.Basic SQL, Power BI/data Studio other reporting tools.Knowledge of Google Analytics UA and moving to Google Analytics 4, at least basic knowledge of Google Tag Manager.Able to work with console logs in JavaScript.Google Big Query (nice to have),English (business communication proficiency).

Responsibilities:Create automations that take data through the ETL (extract, transform, load) process, both for normal reporting and advanced analytics modelsCreate and maintain Azure Pipelines that ensure the transfer of data between different usesManagement of internal databasesProfiling Azure data setsData modeling using Azure platform toolsBuilding data architecture in AzureWorking with SQL databases for data extractionUsing Power BI to expose data to end usersCreating reports in Power BI according to business needsSupporting the business in their processesCollecting information and ensuring its accuracyRequirements:English language - advanced levelPC operating knowledge (MS Office) - advanced levelAnticipation, planning and strategic thinking skillsAnalysis and synthesis skillsGood at connecting and communicating with business to understand their needs and integrate in the solutions providedGrowth mindset and willing to developAzure DevOps AdvancedAdvanced SQLPower BI notes (nice to have)Python for Data Science (desirable)Statistics notes (nice to have)

Responsibilities:Formulates and leads guided, multifaceted analytic studies against large volumes of data.Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.Leads all data experiments tasked by the Data Science Team.Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.Develops methodology and processes for prioritization and scheduling of projects.Analyzes problems and determines root causes.Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.Requirements:Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields5-7 years of professional experienceProficient with one or more programming languages (Java, C++, Python, R, etc.)Demonstrated experience applying data science methods to real-world data problemsExperience utilizing visualization tools to take advantage of the growing volume of available informationData Scientist Qualifications / Skills:Advanced analytical knowledge of dataConducting big data analysisData conditioningProgramming advanced computingDeveloping algorithmsDeveloping software and data modelsExecuting predictive analytics

Responsibilities:Will be required to perform the following:Design, develop, and deploy scalable data-driven solutions using Flask, integrating with Microsoft SQL Server.Lead projects involving NLP, LLMs, and Generative AI, delivering innovative solutions.Collaborate with cross-functional teams to understand business needs and translate them into technical specifications.Conduct advanced statistical analysis and predictive modeling to extract actionable insights.Develop intuitive front-end interfaces to present complex data in an accessible manner.Maintain and enhance back-end systems for optimal performance and scalability.Mentor junior team members and contribute to knowledge sharing within the team.Stay abreast of emerging trends in AI, machine learning, and software development.Requirements:The successful candidate should hold a Bachelor’s degree in in Data Science, Computer Science, or a related field from a recognized and approved program.Should have at least 5 years experience in Natural Language Processing, and at least a few years’ experience in Large Language Models in addition to:At least 5 years of professional experience in data science and full-stack development.Proficiency in Flask, Microsoft SQL Server, and front-end technologies.Proven expertise in NLP, LLMs, and Generative AI.Strong foundation in statistics, machine learning, and algorithm design.Excellent problem-solving skills and ability to think algorithmically.Strong communication skills, with the ability to translate complex concepts to non-technical stakeholders.

Responsibilities:We offer you a diverse range of tasksAnalysis, design and implementation of software as part of our engineering tools.Implementation of various components based on specifications.Maintenance and servicing of existing applications.Creation of development documentation.Collaboration in scrum and project teams.Close cooperation with external development teams.Requirements:Completed IT studies (university / FH) or equivalent training.Several years of professional experience as a software developer.Very good knowledge of Visual Studio .NET (C#, Visual Basic) and in handling relational databases (MS SQL Server, MS Access, SQLite, LINQ, Entity Framework).Familiar with the modeling language UML and current principles of software development, such as software development, such as "clean code" developmentKnowledge of CorelDRAW, XML and GitHub and agile software development methods an advantage.Team player.Enthusiastic about technology and willing to learn.Structured and independent way of working.Very good knowledge of German and English.We are looking for committed, innovative and solution-oriented applicants.

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15 sql Jobs found

Data Scientist

Data Engineer / Senior Data Engineer

PML Programmer

Data Modeler

Data Engineer / Senior / Supervisor

Senior Analyst - Business Intelligence (Digital Analyst)

Data Engineer

ASC - Downstream Data Scientist

ASC - Data Scientist

Software Developer

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15 sql Jobs found

Data Scientist

Data Engineer / Senior Data Engineer

PML Programmer

Data Modeler

Data Engineer / Senior / Supervisor

Senior Analyst - Business Intelligence (Digital Analyst)

Data Engineer

ASC - Downstream Data Scientist

ASC - Data Scientist

Software Developer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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