[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-senior-data-engineer-product-backend-ai-pipelines-mfd":3,"similar-senior-data-engineer-product-backend-ai-pipelines-mfd":41,"matching-freelancers-senior-data-engineer-product-backend-ai-pipelines-mfd":310},{"id":4,"slug":5,"title":6,"description":7,"skills":8,"budget":25,"duration":26,"location":27,"onsitePercent":28,"contractType":29,"foundAt":30,"category":31,"rawText":35,"webTitle":36,"webText":37,"language":38,"projectId":39,"sourceUrl":40},13907,"senior-data-engineer-product-backend-ai-pipelines-mfd","Senior Data Engineer - Product (Backend & AI Pipelines) (m\u002Ff\u002Fd)","Freelance\u002FContracting-Projekt für einen Senior Data Engineer zur Gestaltung und Wartung von Batch-AI-Pipelines im Produktionsmaßstab. Verantwortung für MLflow-Implementierung, Databricks-basierte Datenprodukte und AWS-Backend-Services. Starker Fokus auf Infrastruktur-as-Code, CI\u002FCD-Pipelines und Zusammenarbeit mit Product- und Content-Teams.",[9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24],"Data Engineering","Python","SQL","AWS","Databricks","Delta Lake","MLflow","Terraform","GitHub Actions","Lambda","DynamoDB","S3","Kinesis","dbt","Infrastructure as Code","CI\u002FCD",null,"asap","Berlin",0,"contracting","2026-06-19T09:31:25+00:00",{"id":32,"slug":33,"label":34},4,"data_analytics","Data & Analytics","Senior Data Engineer - Product (Backend & AI Pipelines) (m\u002Ff\u002Fd)\n\nFreelance\u002FContracting project\n\nRemote\u002FBerlin\n\nStart date: asap\n\nReference number: 880532\u002F1\nBewerbung starten\n\nDiesen Job teilen oder drucken\n\nResponsibilities\n\n- Design, implement, and maintain batch AI pipelines that power product and content features at scale\n- Implement and own MLflow for LLM traces, including the full data pipeline for downstream analysis (e.g. via dbt and SQL-based transformations)\n- Build and operate Databricks-based data products, including Delta Lake tables, Databricks Jobs\u002FWorkflows, and MLflow experiments and traces\n- Develop and maintain data and backend services on AWS, using Lambda, API Gateway, DynamoDB, S3, and Kinesis streams for real-time event processing\n- Manage Infrastructure as Code (IaC) for AWS and Databricks (Terraform), ensuring reproducible and auditable environments\n- Own and improve CI\u002FCD pipelines (GitHub Actions) for deploying Databricks jobs, AWS Lambdas, dbt transformations, and related components\n- Apply and evangelize solid engineering design principles and data engineering best practices, with a strong focus on parallelism, distribution, and performance\n- Collaborate with Product and Content teams to translate product needs into robust, scalable data and AI solutions\n- Monitor, debug, and optimize pipelines and data products in production, ensuring reliability, quality, and cost-effectiveness\n\nProfile\n\n- Solid experience as a Senior Data Engineer or Backend Engineer working with data-intensive systems (experience in data\u002Fback-end engineering or equivalent expertise)\n- Very strong Python and SQL skills, with a track record of building robust, production-grade pipelines and services\n- Strong experience with AWS serverless and data services (Lambda, S3, API Gateway, DynamoDB)\n- Hands-on experience with Databricks and Delta Lake, including Jobs\u002FWorkflows and MLflow\n- Very good experience in managing Infrastructure as Code, ideally with Terraform\n- Experience setting up and maintaining CI\u002FCD pipelines, preferably with GitHub Actions\n- Deep understanding of data engineering best practices (partitioning, parallelism, distribution, performance tuning, observability)\n- Proven ability to work independently and take end-to-end ownership of complex systems and projects, and to perform well under speed and pressure while maintaining quality\n- Familiarity and comfort with AI-assisted coding workflows (e.g. Claude Code or similar tools) to accelerate development while keeping code quality high\n- Strong problem-solving mindset and the ability to move from vague requirements to clear designs and reliable implementations\n- Comfortable collaborating with Product and Content stakeholders, explaining technical trade-offs in a clear, pragmatic way\n\nBenefits\n\n- A highly motivated team and an open way of communication\n\nAbout Hays\n\nIT is and always has been our core business that laid the foundation for Hays' success. We are the biggest privately owned IT recruitment agency in Germany and offer the best jobs for every career level – whether you are interested in vacancies in agile SMEs or international DAX groups. Hays masters the entire IT job spectrum, from support to software architecture or digitalisation – thanks to our broad portfolio, we have something for everyone. In the last decades, we were able to support numerous IT experts with choosing the right path for a successful career, positioning ourselves as their lifelong partner. Our highly specialised consultants can cater to your every wish and expectation and will prepare you for interviews and contract negotiations. Give it a try and learn what the market has to offer – our services are free of charge, non-binding and discreet! We look forward to hearing from you.\n\nStaffing process for freelance specialists\n\n- Analysis of qualifications\n\n- Telephone or personal interview\n\n- Contact with customers\n\n- Contract with Hays\n\n- 1\n1. Analysis of qualifications\n\nWe carry out a detailed analysis of your technical qualifications on the basis of your CV, your application documents and your profile.\n\n- 2\n2. Telephone or personal interview\n\nWe would like to get to know you better in a personal conversation. Your personal contact would be pleased to advise you and clarify any outstanding questions about your qualifications. In this way, your profile will be expanded to include a few more skills if necessary.\n\n- 3\n3. Contact with customers\n\nWe compare your qualifications and targets with the expectations of our customers. As soon as we have found a suitable project for you, we will contact you and introduce you to your potential project partners. If you are interested in the project, we will contact the customers. Then a personal discussion will take place with the project partner.\n\n- 4\n4. Contract with Hays\n\nIf both parties are interested in collaborating, all of the relevant framework conditions will be agreed with Hays. Hays then acts as a contractual partner for both parties. In other words, a contract is drawn up between you and Hays and the company and Hays.\n\nContact at Hays\n\n+ 49 621 1788-4297 E-Mail: positionen@hays.de positionen@hays.de\nReference number : 880532\u002F1\n\n© Copyright Hays plc, . Das Wort HAYS, die H-Symbole, „Hays Working for your tomorrow\" und „Powering the world of work\" sowie damit verbundene Logos und Illustrationen sind eingetragene Markenzeichen der Hays PLC. Die H-Symbole sind Originaldesigns, die in vielen Ländern geschützt sind. Alle Rechte vorbehalten.\n\nBewerbung starten\n\nDiesen Job teilen oder drucken\n\nZur Gesamtübersicht\n\nMEINE MERKLISTE\n\nUm die Merkliste zu nutzen, ist ein Login notwendig.\nFalls Sie noch keine Login-Daten haben, können Sie sich in zwei Minuten registrieren.\n\nJetzt einloggen Sie haben noch keinen Login?\n\nJetzt registrieren\nIhre Vorteile\n\nGeräteübergreifend Jobangebote speichern und sich bewerben\n\nBewerbung auf mehrere Jobangebote gleichzeitig\n\nSchnelle und einfache Bewerbung\n\nBewerben mit 1 Klick\n\nIhre Bewerbungsunterlagen liegen uns bereits vor.\n\nMöchten Sie sich nun damit bewerben?\n\nJetzt bewerben\n\nChat\n\nChat -\n\nDer Chat kann aufgrund Ihrer Cookie-Einstellungen nicht angezeigt werden.\nBitte aktivieren Sie die funktionellen Cookies und laden die Seite neu, um den Inhalt zu sehen.\nCookie-Einstellungen anpassen","Senior Data Engineer – Backend & AI Pipelines","Wir suchen einen erfahrenen Senior Data Engineer zur Entwicklung und Wartung von skalierbaren Batch-AI-Pipelines, die Produkt- und Content-Features antreiben. In dieser Remote-Position mit Standort Berlin werden Sie als Freelancer\u002FContractor tätig.\n\nIhre Aufgaben umfassen das Design und die Implementierung von produktiven AI-Pipelines, die Verwaltung von MLflow für LLM-Traces sowie die Entwicklung datengestützter Produkte auf Basis von Databricks und Delta Lake. Sie werden AWS-Services wie Lambda, API Gateway, DynamoDB, S3 und Kinesis Streams einsetzen, um robuste Backend-Services zu schaffen. Darüber hinaus verantworten Sie Infrastructure as Code mit Terraform und optimieren CI\u002FCD-Pipelines mittels GitHub Actions. Ein wichtiger Aspekt ist die Zusammenarbeit mit Product- und Content-Teams, um technische Anforderungen in skalierbare Lösungen umzusetzen.\n\nWir erwarten fundierte Erfahrung als Senior Data Engineer oder Backend Engineer mit datenintensiven Systemen. Sie sollten über sehr gute Python- und SQL-Kenntnisse verfügen und Erfahrung mit AWS-Serverless-Services, Databricks, Delta Lake und MLflow mitbringen. Kenntnisse in Infrastructure as Code (Terraform) und CI\u002FCD-Pipelines sind erforderlich. Ein tiefes Verständnis von Data-Engineering-Best-Practices wie Partitionierung, Parallelisierung und Performance-Tuning ist notwendig. Sie arbeiten eigenverantwortlich, können komplexe Systeme end-to-end betreuen und sind vertraut mit AI-gestützten Coding-Workflows. Pragmatische Kommunikation mit technischen und nicht-technischen Stakeholdern ist wichtig.\n\nWir bieten ein motiviertes Team und offene Kommunikationskultur. Die Position ist sofort verfügbar.","en","880532\u002F1","https:\u002F\u002Fwww.hays.de\u002Fjobsuche\u002Fstellenangebote-jobs-detail-senior-data-engineer-product-backend-ai-pipelines-remote-berlin-880532\u002F1",{"items":42},[43,62,74,91,120,137,156,170,197,215,228,244,260,274,290],{"id":44,"slug":45,"title":46,"description":47,"skills":48,"budget":58,"duration":25,"location":59,"onsitePercent":25,"contractType":29,"foundAt":60,"category":61},13954,"data-analyst-2","Data Analyst","Skilled Data Analyst gesucht, um komplexe Datensätze zu analysieren und aussagekräftige Erkenntnisse zu generieren, die strategische Entscheidungen unterstützen. Die Rolle umfasst die Zusammenarbeit mit Cross-Functional-Teams, die Erstellung von Dashboards und die Umwandlung von Datenerkenntnissen in handlungsorientierte Geschichten. Der Kandidat sollte Expertise in SQL, Python, Power BI\u002FTableau und Azure-basierten Plattformen mitbringen.",[11,10,49,50,51,52,53,54,55,56,57],"Excel","Power BI","Tableau","Data Analytics","Customer Analytics","A\u002FB Testing","Azure","R","Data Visualization","Negotiable","Amsterdam","2026-06-19T11:51:00+00:00",{"id":32,"slug":33,"label":34},{"id":63,"slug":64,"title":46,"description":65,"skills":66,"budget":25,"duration":25,"location":59,"onsitePercent":25,"contractType":71,"foundAt":72,"category":73},13953,"data-analyst","Wir suchen einen detailorientierten Data Analyst zur Unterstützung unseres Teams. Der Kandidat sollte Expertise in Datenanalyse und Power BI haben, um Daten in aussagekräftige Visualisierungen umzuwandeln. Die Rolle umfasst Datenverarbeitung, Dashboard-Entwicklung und Zusammenarbeit mit Cross-Functional Teams.",[67,50,11,49,68,57,69,70],"Data Analysis","Statistical Analysis","Data Validation","Communication","permanent","2026-06-19T11:45:47+00:00",{"id":32,"slug":33,"label":34},{"id":75,"slug":76,"title":77,"description":78,"skills":79,"budget":25,"duration":25,"location":87,"onsitePercent":88,"contractType":29,"foundAt":89,"category":90},13937,"business-analyst-datenvisualisierung-mwd","Business Analyst Datenvisualisierung (m\u002Fw\u002Fd)","Freiberufliches Projekt für eine renommierte Bank in Bern. Aufgaben umfassen Datenladen, Datenvisualisierung, Dashboard-Entwicklung und PL\u002FSQL-basierte Datenmodellierung. Gesucht werden erfahrene Business Analysten mit Datenvisualisierungs- und SQL-Kenntnissen.",[80,81,82,83,84,85,86],"Datenvisualisierung","Business Analyse","PL\u002FSQL","XML","GIT","Datenmodellierung","Deutsch","Bern",100,"2026-06-19T10:45:45+00:00",{"id":32,"slug":33,"label":34},{"id":92,"slug":93,"title":94,"description":95,"skills":96,"budget":58,"duration":115,"location":116,"onsitePercent":117,"contractType":29,"foundAt":118,"category":119},13886,"data-platform-manager","Data Platform Manager","Data Platform Manager für 6+ Monate in Paris, hybrid (2-3 Tage\u002FWoche vor Ort). Leitung von Cross-funktionalen Data Teams in einem Digital Factory Umfeld mit Fokus auf Microsoft Fabric, Power BI und dbt. Erfordert 7-10 Jahre Data Engineering\u002FBI Erfahrung und fließend Französisch.",[9,97,98,99,100,101,102,103,104,50,22,105,11,10,106,107,108,109,24,110,111,112,113,114],"Business Intelligence","Data Management","Team Leadership","Data Platform Strategy","Microsoft Fabric","Data Factory","Lakehouse","Data Warehouse","Azure Data Services","Data Architecture","Data Governance","GDPR Compliance","DevOps","Git","Agile","Scrum","SAFe","French","6 months+","Paris",40,"2026-06-19T09:15:29+00:00",{"id":32,"slug":33,"label":34},{"id":121,"slug":122,"title":123,"description":124,"skills":125,"budget":25,"duration":133,"location":134,"onsitePercent":117,"contractType":29,"foundAt":135,"category":136},13843,"senior-power-bi-consultant-bruessel-60-remote-asap","Senior Power BI Consultant (Brüssel, 60% Remote, ASAP)","Gesucht wird ein Data Analyst \u002F Power BI Expert zur Unterstützung von Group Controlling-Initiativen in einem europäischen Energieunternehmen. Die Rolle umfasst die Entwicklung und Automatisierung von KPI-Reporting-Lösungen, Dashboard-Optimierung und datengestützte Entscheidungsfindung. Der Kandidat fungiert als zentrale Schnittstelle zwischen Business-Stakeholdern, Controlling-Teams, IT und Datenverwaltung.",[126,127,128,85,129,130,11,131,97,132],"Power BI Desktop","DAX","Power Query","KPI Reporting","Dashboard Design","Stakeholder Management","Datenqualitätsmanagement","5 Monate, Start Juli 2026","Brüssel","2026-06-19T07:21:05+00:00",{"id":32,"slug":33,"label":34},{"id":138,"slug":139,"title":140,"description":141,"skills":142,"budget":25,"duration":153,"location":25,"onsitePercent":28,"contractType":29,"foundAt":154,"category":155},13750,"data-engineer-fmd-2","Data Engineer (f\u002Fm\u002Fd)","Für eine Fluggesellschaft suchen wir einen Data Engineer zur Verstärkung des Analytics-Teams im Value Stream \"Customer Service\". Sie entwickeln, warten und optimieren skalierbare Datenpipelines und arbeiten eng mit Data Analysts, weiteren Data Engineers und einem Data Architect zusammen. Die Rolle erfordert Kenntnisse in Azure Data Engineering, Databricks, PySpark und Cloud-Technologien.",[143,13,144,145,146,147,85,148,110,24,149,150,151,152],"Azure Data Engineering","PySpark","ADLS Gen2","ADF","ETL\u002FELT-Design","Performance-Optimierung","LLMs","Generative KI","APIs","Englisch","11 Months","2026-06-18T13:35:09+00:00",{"id":32,"slug":33,"label":34},{"id":157,"slug":158,"title":159,"description":160,"skills":161,"budget":25,"duration":166,"location":167,"onsitePercent":28,"contractType":29,"foundAt":168,"category":169},13657,"pricing-specialist-iam-mwd","Pricing Specialist IAM (m\u002Fw\u002Fd)","Unterstützung der europäischen IAM-Pricing-Strategie mit Fokus auf Power BI Dashboards, Datenanalyse und Pricing-Insights. Rolle im Independent Automotive Aftermarket mit Verantwortung für Preislisten, Wettbewerbsanalysen und Margin-Optimierung. Nachfolgerolle mit langfristiger Entwicklung in internationalem Umfeld.",[50,49,162,163,164,165],"Pricing","Datenanalyse","Deutsch C1","Englisch C1","29.06.2026 - 31.12.2026 mit Option Verlängerung","Ludwigsburg","2026-06-18T09:30:57+00:00",{"id":32,"slug":33,"label":34},{"id":171,"slug":172,"title":173,"description":174,"skills":175,"budget":25,"duration":192,"location":193,"onsitePercent":194,"contractType":29,"foundAt":195,"category":196},13653,"data-engineer-aws-glue-aws-datenpipeline-parquet-python-aws-zertifikat-mwd","Data Engineer – AWS Glue, AWS Datenpipeline, Parquet, Python, AWS Zertifikat (m\u002Fw\u002Fd)","Westhouse sucht einen Data Engineer für die Entwicklung von AWS-basierten Datenpipelines mit Fokus auf AWS Glue, Parquet und Python. Der Kandidat wird Datenbanken, Data Warehouses und automatisierte Datenqualitätsprüfungen aufbauen sowie Datenintegration aus heterogenen Quellen implementieren. Mindestens 5 Jahre Erfahrung mit AWS-Datenpipelines und 3 Jahre mit AWS Glue erforderlich.",[176,177,10,178,179,180,181,182,183,184,185,186,187,188,189,190,191],"AWS Glue","AWS Datenpipeline","Parquet","AWS S3","AWS Step Functions","AWS Lambda","AWS Fargate","AWS Batch","Datenintegration","Schema-Validierung","CSV","JSON","YAML","AWS CDK","EventBridge","Event-Driven Architecture","01.07.2026 - 31.12.2026 (108 Tage, davon 6 Tage Onsite)","Frankfurt",6,"2026-06-18T09:26:46+00:00",{"id":32,"slug":33,"label":34},{"id":198,"slug":199,"title":200,"description":201,"skills":202,"budget":25,"duration":25,"location":211,"onsitePercent":212,"contractType":29,"foundAt":213,"category":214},13595,"data-engineer-analyst-automotive-mwd","Data Engineer \u002F Analyst Automotive (m\u002Fw\u002Fd)","Auswertung von Fahrzeugdaten zur Optimierung zukünftiger Fahrzeugprodukte. Durchführung von Use Cases, Entwicklung von Methoden und Tools sowie Erstellung von Anforderungen zur Überführung in operative Systeme. Mitarbeit in agilen Projekten mit Fokus auf ETL\u002FELT-Prozesse und Datenpipelines.",[9,203,11,10,55,13,204,22,205,110,50,206,207,112,208,209,210],"ETL\u002FELT-Prozesse","Spark","Airflow","Machine Learning","Data Science","Jira","Confluence","Azure DevOps","Stuttgart",50,"2026-06-18T04:25:26+00:00",{"id":32,"slug":33,"label":34},{"id":216,"slug":217,"title":218,"description":219,"skills":220,"budget":25,"duration":25,"location":225,"onsitePercent":212,"contractType":29,"foundAt":226,"category":227},13377,"data-engineer-mwd-7","Data Engineer (m\u002Fw\u002Fd)","Aufbau einer modernen Datenarchitektur und Entwicklung von Datenpipelines zur Zusammenführung von Unternehmensdaten. Optimierung der BI-Landschaft in Microsoft Fabric sowie Umsetzung innovativer Analytics-Projekte mit Fokus auf Prognosen und Mustererkennung.",[101,50,11,221,10,56,222,207,223,224],"ETL","Datenmodelle","KI","Automatisierung","Innsbruck","2026-06-17T08:25:32+00:00",{"id":32,"slug":33,"label":34},{"id":229,"slug":230,"title":231,"description":232,"skills":233,"budget":25,"duration":239,"location":240,"onsitePercent":241,"contractType":29,"foundAt":242,"category":243},13335,"business-analyst","Business Analyst","Koordination fachlicher Anforderungen zwischen Fachbereich und IT, Datenanalyse mit SQL und Dokumentation in Confluence. Implementierung von ETL-Workflows mit PL\u002FSQL und Kafka-Integration über 4 Jahre.",[234,11,82,221,235,236,163,237,238],"Business Analysis","Apache Kafka","Atlassian Confluence","Kostenmodellierung","Dokumentation","48 Monate","Deutschland",8,"2026-06-17T02:06:33+00:00",{"id":32,"slug":33,"label":34},{"id":245,"slug":246,"title":247,"description":248,"skills":249,"budget":25,"duration":257,"location":25,"onsitePercent":28,"contractType":29,"foundAt":258,"category":259},13332,"freelance-data-warehouse-engineer-awskubernetesclickhouseairflow-100-remote-start-january","Freelance Data Warehouse Engineer (AWS\u002FKubernetes\u002FClickHouse\u002FAirflow) – 100% Remote – Start January","Gesucht wird ein Freelance Data Warehouse Engineer zur Unterstützung einer Data Warehouse Umgebung. Aufgaben umfassen den Aufbau von ETL-Pipelines, Entwicklung von Airflow DAGs in Python, Deployment auf Kubernetes sowie Optimierung von ClickHouse. Mindestens 3 Tage pro Woche, 100% remote, Start Januar 2026.",[12,250,251,252,10,16,17,253,254,255,221,24,256],"Kubernetes","ClickHouse","Apache Airflow","Helm","Prometheus","Grafana","TypeScript","6 Monate, Start Januar 2026","2026-06-17T02:06:10+00:00",{"id":32,"slug":33,"label":34},{"id":261,"slug":262,"title":263,"description":264,"skills":265,"budget":269,"duration":270,"location":87,"onsitePercent":271,"contractType":29,"foundAt":272,"category":273},13322,"senior-applikations-entwickler-data-engineer-sql-python-snowflake-git-cicd-powerbi","Senior Applikations Entwickler \u002F Data Engineer SQL Python Snowflake Git CI\u002FCD PowerBI","Gesucht wird ein erfahrener Data Engineer (BizDevOps Engineer) zur Entwicklung und zum Betrieb von Datenprodukten auf einer Enterprise Analytics Plattform basierend auf Snowflake. Der Kandidat arbeitet mit Fach- und Stakeholdern zusammen, um fachliche Logiken umzusetzen und Business-Reporting-Lösungen bereitzustellen, einschließlich Integration von SAP S\u002F4-Daten.",[9,85,11,10,266,110,24,109,50,267,268],"Snowflake","Requirements Engineering","SAP S\u002F4","CHF 110\u002Fh","Start August 2026",60,"2026-06-16T19:51:20+00:00",{"id":32,"slug":33,"label":34},{"id":275,"slug":276,"title":277,"description":278,"skills":279,"budget":25,"duration":286,"location":287,"onsitePercent":117,"contractType":29,"foundAt":288,"category":289},13280,"business-analyst-portfolio-management-portfoliosteuerung-versicherungsanalytik-mwd","Business Analyst Portfolio Management (Portfoliosteuerung & Versicherungsanalytik) – (m\u002Fw\u002Fd)","Interim-Position als Business Analyst für Portfoliosteuerung und Versicherungsanalytik in Hamburg. Aufgaben umfassen Analyse von Versicherungsportfolios, Identifikation von Optimierungspotenzialen, Entwicklung von Portfoliostrategien und Aufbau von Reports\u002FKPIs\u002FDashboards mit Power BI oder Qlik.",[280,281,163,49,50,282,97,283,284,285],"Versicherungsbranche","Portfolio Management","Qlik","GDV","BiPRO","Analytische Fähigkeiten","3 Monate mit Möglichkeit zur Verlängerung um weitere 6 Monate","Hamburg","2026-06-16T15:41:19+00:00",{"id":32,"slug":33,"label":34},{"id":291,"slug":292,"title":293,"description":294,"skills":295,"budget":306,"duration":25,"location":307,"onsitePercent":271,"contractType":71,"foundAt":308,"category":309},13257,"experimentation-analytics-manager-ic","Experimentation Analytics Manager (IC)","Führende Medien- und Unterhaltungsorganisation sucht einen Experimentation Analytics Lead, um A\u002FB-Testing-Strategie über ein Portfolio von hochfrequentierten digitalen Marken zu treiben. Die Rolle umfasst die Gestaltung und Skalierung von Experimentierungsinitiativen in Zusammenarbeit mit Product, Analytics, Marketing und Engineering Teams.",[296,297,54,298,299,300,301,11,10,56,266,13,302,303,51,304,305,131],"Experimentation","Product Analytics","Hypothesis Testing","Experimental Design","Causal Inference","Amplitude","Adobe Analytics","Google Analytics","Looker","Omni","$110,000-$130,000 + Bonus","NYC or NJ","2026-06-16T14:28:44+00:00",{"id":32,"slug":33,"label":34},{"items":311},[312,326,337,348,356],{"slug":313,"role":314,"tagline":25,"availability":25,"workMode":315,"hourlyRateFrom":25,"hourlyRateTo":25,"topSkills":319},"it-freelancer-generalist-p327","IT-Freelancer \u002F Generalist",[316,317,318],"onsite","remote","hybrid",[320,321,322,323,324,325],"Softwareentwicklung","Systemanalyse","Projektmanagement","IT-Beratung","Prozessoptimierung","Schnittstellenentwicklung",{"slug":327,"role":328,"tagline":25,"availability":25,"workMode":329,"hourlyRateFrom":25,"hourlyRateTo":25,"topSkills":330},"senior-it-berater-digitalisierungsexperte-f-r-pensionsverwaltung-p290","Senior IT-Berater \u002F Digitalisierungsexperte für Pensionsverwaltung",[316,317,318],[331,332,333,334,335,336],"Java","Spring Framework","Oracle Database","SQL Server","REST APIs","Microservices",{"slug":338,"role":339,"tagline":340,"availability":25,"workMode":341,"hourlyRateFrom":342,"hourlyRateTo":25,"topSkills":343},"senior-software-developer-full-stack-engineer-p4","Senior Software Developer \u002F Full-Stack Engineer","25 Jahre eCommerce-Erfahrung als Fullstack-Entwickler, IT-Architekt und hands-on Projektmanager",[317,318,316],80,[111,112,344,345,346,347],"Kanban","TDD","Lean Coding","MVC",{"slug":349,"role":350,"tagline":25,"availability":25,"workMode":351,"hourlyRateFrom":25,"hourlyRateTo":25,"topSkills":352},"it-consultant-full-stack-developer-p251","IT-Consultant \u002F Full-Stack Developer",[316,317,318],[353,10,331,354,355,11],"JavaScript","React","Node.js",{"slug":357,"role":350,"tagline":25,"availability":25,"workMode":358,"hourlyRateFrom":25,"hourlyRateTo":25,"topSkills":359},"it-consultant-full-stack-developer-p246",[316,317,318],[353,256,354,355,10,331]]