senior data engineer

ScanTrust

Senior Data EngineerFounded in 2014, we are a fast-growing, award winning scaleup with offices around the globe. Our talented team consists of amazing and colorful individuals who can declare, &ldquo;I love where I work!&rdquo; and actually mean it. We built the leading connected products platform for companies that depend on selling physical products in an increasingly connected world. We enable active brand protection, supply chain awareness, and direct consumer engagement benefits by securely binding billions of physical products with online identities, and processing millions of scans every day for these products. Our solutions help some of the world&rsquo;s biggest brands to maintain brand integrity, deliver valuable consumer insights, and unlock growth potential. We are very international with a presence in Lausanne, Shanghai, Amsterdam, Ukraine, Thailand, New Zealand and the US. Find out more atScantrust is currently looking for a Senior Data Engineer (based in Amsterdam) with the following scopeKey Responsibilities of our Senior Data Engineer:<ul><li>Develop and expand our existing data platform.</li><li>Make architectural design decisions and communicate tradeoffs clearly with senior management.</li><li>Continuously improve and maintain data ingestions &amp; pipelines from internal and external systems.</li><li>Collaborate with business and analytics teams to design insightful visualizations, define KPIs, and support ad-hoc analytical needs.</li><li>Work with product and technical teams to gather requirements for data storage and processing architecture that can handle our growing needs.</li><li>Prepare us for the age of agentic AI.</li></ul>Experiences &amp; Education<ul><li>5+ years of data engineering experience, including migration projects</li><li>3+ years of SQL experience</li><li>3+ years of Python</li><li>3+ years of experience with a reporting system (Tableau, Looker, PowerBI, etc)</li><li>Creating and maintaining operations and financial data pipelines</li><li>Managing AWS cloud data services (Glue, DMS, Athena preferred)</li><li>Setting up and managing a cloud data warehouse (Redshift preferred)</li><li>Hands-on working with Airflow or an equivalent orchestrator in production (Dagster, Prefect)</li><li>Solid understanding of data modelling: dimensional modelling, slowly changing dimensions, and event-sourced schemas</li></ul>Other Desired Skills<ul><li>Knowledge of best practices and IT operations in an always-up, always-available service</li><li>Excellent problem solving and troubleshooting skills</li><li>Process oriented with great documentation skills</li><li>Excellent oral and written communication skills with a keen sense of customer service</li><li>Experience with AI tooling. (experience developing MCP servers or other AI connectors is a big plus)</li></ul>Scantrust Offers<ul><li>A small but fast-growing international company</li><li>Laid-back office in the heart of Amsterdam @ the Hacker Building</li><li>Fun International team with a sense of purpose</li><li>We celebrate diversity, care about our work-life balance and value emotional safety</li></ul>We are a people-first company so your resumes are read by real humans. So we appreciate you not sending us AI-generated CV's or application letters.Job Type: Full-timePay: &euro;4.500,00 - &euro;7.000,00 per monthExperience:<ul><li>SQL: 3 years (Preferred)</li><li>Data engineering: 3 years (Preferred)</li></ul>Work Location: Hybrid remote in 1017 Amsterdam Centrum

Senior Data Engineer

Six Feet Up Inc.

<div><div>Six Feet Up is seeking a Senior Data Engineer with deep experience designing, building, and maintaining secure, scalable data systems.
In this role, you will work with cross-functional teams to turn complex data challenges into reliable production solutions. You will design data pipelines, build processing workflows, improve data quality, support machine learning initiatives, and help clients make better use of structured, unstructured, time-series, sensor-based, and high-volume data.
We are looking for someone who can bring technical leadership, sound engineering judgment, and strong communication skills to ambiguous data problems. The ideal candidate is comfortable working across data engineering, cloud infrastructure, machine learning support, and production software delivery.<h3 class="jobSectionHeader">
What You&rsquo;ll Do</h3>
As a Senior Data Engineer, you will:<ul><li>
Design, build, and maintain robust, scalable data pipelines</li><li>
Develop ETL/ELT workflows for collecting, transforming, validating, and storing data</li><li>
Work with cloud-based data processing and storage systems</li><li>
Implement data validation, quality checks, monitoring, and transformation workflows</li><li>
Process complex datasets, including noisy, high-volume, time-series, sensor, or device-generated data</li><li>
Support machine learning workflows, including data preparation, model training, evaluation, and production integration</li><li>
Collaborate with data scientists, researchers, software engineers, and client stakeholders</li><li>
Translate prototype data workflows into reliable, maintainable production systems</li><li>
Create systems that are well-documented, testable, secure, and ready for audit or review</li><li>
Communicate technical tradeoffs clearly to both technical and non-technical audiences</li></ul><h3 class="jobSectionHeader">
Your Technical Expertise</h3>
We are looking for someone with strong hands-on experience in:<ul><li>
Data pipeline architecture and implementation</li><li>
ETL/ELT orchestration tools such as Airflow, Dagster, or similar platforms</li><li>
Python-based data engineering and data processing tools</li><li>
Cloud-based data infrastructure, storage, and processing</li><li>
Data modeling, schema design, validation, and quality-control practices</li><li>
Working with public, proprietary, structured, and unstructured datasets</li><li>
Time-series, sensor, IoT, or other high-volume data sources</li><li>
Supporting machine learning or data science teams with reliable data workflows</li><li>
Building reproducible, testable, and maintainable data systems</li><li>
Version control, automated testing, and collaborative software development practices</li></ul><h3 class="jobSectionHeader">
Strong Candidates May Also Have Experience With</h3><ul><li>
Machine learning pipelines for classification, prediction, recommendation, or categorization systems</li><li>
MLOps, model evaluation, experiment tracking, and reproducible ML workflows</li><li>
Processing noisy signal data or other data that requires cleaning, filtering, or feature extraction</li><li>
Healthcare, digital health, research, or regulated software environments</li><li>
HIPAA, privacy-preserving data architecture, or secure cloud data processing</li><li>
Working with sensitive, clinical, or user-generated data</li><li>
Helping researchers or domain experts scale early-stage algorithms into production-ready systems</li><li>
Designing systems that support thousands or more users</li></ul>
A Plus:
<ul><li>Experience with containers, CI/CD, DevOps practices, or Kubernetes</li><li>
Familiarity with AWS, Google Cloud, Azure, or similar cloud platforms</li><li>
Experience with consumer analytics, dashboards, or data visualization products</li><li>
Experience supporting FDA, SaMD, clinical validation, audit, or regulatory documentation efforts</li><li>
Experience designing secure data workflows for privacy-sensitive applications</li></ul><h3 class="jobSectionHeader">
About You</h3>
You are a senior engineer who brings structure to ambiguous technical challenges. You ask thoughtful questions, identify risks early, and know how to balance research needs, business goals, engineering quality, and long-term maintainability.
You care about data quality, privacy, testing, documentation, and clear communication. You are comfortable designing architecture, writing production code, reviewing data workflows, and collaborating with people from different technical backgrounds.
You enjoy helping clients move from ideas and prototypes to secure, scalable, production-ready systems.
If you are a motivated Senior Data Engineer seeking a challenging and meaningful role, we encourage you to apply.<h3 class="jobSectionHeader">
About Six Feet Up
</h3>Six Feet Up makes the world a better place by using technology to accelerate the initiatives of companies that do good. Our engineers specialize in app development, AI, big data and cloud technology. Our impactful clients focus on tech &amp; science, social good, and the environment.</div></div>

APLOMB Technologies

Job Summary We are seeking a highly skilled and motivated Senior Data Engineer to lead the design, development, and maintenance of our enterprise data infrastructure. In this dynamic role, you will harness the power of big data technologies and cloud platforms to enable insightful analytics and data-driven decision-making. Your expertise will drive the creation of scalable data pipelines, optimize data storage solutions, and support advanced analytics initiatives. Join us to empower our organization with innovative data solutions that fuel growth and strategic insights.Responsibilities<ul><li>Design, develop, and optimize robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources such as AWS, Azure Data Lake, Hadoop, and on-premises systems. </li><li>Build scalable data pipelines utilizing Apache Spark, Hadoop ecosystem components (e.g., Hive), and Python scripting to process large volumes of structured and unstructured data efficiently. </li><li>Develop and maintain data warehouses leveraging SQL Server, Oracle, and other relational databases; ensure high performance and security standards. </li><li>Collaborate with cross-functional teams to implement data models, database designs, and linked data architectures that support analytics and reporting needs. </li><li>Utilize tools like Talend, Informatica, and Shell Scripting to automate workflows and streamline data processing tasks. </li><li>Integrate RESTful APIs for seamless data exchange between systems; support model training activities for machine learning initiatives. </li><li>Work within Agile methodologies to deliver continuous improvements in data infrastructure while maintaining documentation for compliance and knowledge sharing.</li></ul>Requirements<ul><li>Proven experience as a Data Engineer or similar role with a focus on big data technologies such as Hadoop, Spark, Hive, and Azure Data Lake. </li><li>Strong proficiency in SQL (including Microsoft SQL Server and Oracle), Python, Java, Bash (Unix shell), Shell Scripting, and VBA for automation and analysis tasks. </li><li>Hands-on experience designing scalable data warehouses and implementing ETL pipelines using tools like Talend or Informatica. </li><li>Familiarity with cloud platforms such as AWS and Azure for deploying large-scale data solutions. </li><li>Knowledge of database design principles, linked data concepts, RESTful API integration, and model training techniques for machine learning applications. </li><li>Excellent analysis skills with the ability to interpret complex datasets; experience with Looker or similar BI tools is a plus. </li><li>Strong understanding of Agile development practices to facilitate iterative project delivery in fast-paced environments. Join us as a Senior Data Engineer to shape the future of our organization&rsquo;s data landscape! Bring your passion for innovation, technical expertise in big data ecosystems, cloud platforms, and analytics to help us unlock valuable insights that drive strategic success. We&rsquo;re committed to fostering an inclusive environment where your skills can thrive&mdash;empowering you every step of the way!</li></ul>Pay: $50.00 - $55.00 per hourWork Location: In person

Pavilion Recruitment Solutions

<div>
 
 
 Senior Data Engineer
 
 
 
 
 Salary - &pound;60,000 - &pound;80,000
 
 
 
 
 Surrey/ Hybrid
 
 
 
 
 
 
 We&rsquo;re looking for a Senior Data Engineer to join a collaborative team of data engineers, AI engineers, data scientists, developers, analysts, and architects, helping to design and deliver innovative data and AI solutions that support business-critical products and decision-making.
 
 
 
 
 
 This is an opportunity to work on a modern cloud-based data platform, building scalable data products while contributing to the evolution of Generative AI capabilities and next-generation analytics.
 
 
 
 
 
 
 The Role
 
 
 
 As a Senior Data Engineer, you&rsquo;ll play a key role in designing, building and optimising a high-performance data platform that enables data-driven products and AI innovation. Working within cross-functional Agile teams, you&rsquo;ll collaborate with engineers, architects and product managers to solve complex data challenges and deliver scalable, reliable solutions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, build and support enterprise-scale data products on a modern cloud data platform.
 </li>
 <li>
 Deliver robust technical solutions to complex data engineering challenges, including supporting emerging AI and Generative AI use cases.
 </li>
 <li>
 Design, develop and maintain platform components for data ingestion, orchestration, monitoring and performance optimisation.
 </li>
 <li>
 Build scalable batch and real-time data pipelines that enable seamless access to high-quality data.
 </li>
 <li>
 Integrate data from multiple sources, ensuring consistency, quality and adherence to engineering standards.
 </li>
 <li>
 Develop reusable frameworks and best practices for data pipelines across the platform.
 </li>
 <li>
 Collaborate with solution architects to design scalable data products and evaluate new technologies that enhance AI and machine learning capabilities.
 </li>
 <li>
 Work within Agile delivery teams alongside engineers, analysts, developers and product specialists.
 </li>
 </ul>
 
 
 
 
 
 About You
 
 
 
 You&rsquo;ll be an experienced Data Engineer who enjoys solving complex technical problems and building scalable data solutions.
 
 
 
 
 
 You&rsquo;ll bring:
 
 <ul>
 <li>
 Strong experience designing and developing modern cloud-based data platforms.
 </li>
 <li>
 Hands-on experience with cloud data warehouse technologies such as
 
 Databricks
 
 or
 
 Snowflake
 
 , ideally within an
 
 AWS
 
 environment but not essential.
 </li>
 <li>
 Excellent
 
 Python
 
 development skills, with strong knowledge of the Python data ecosystem including
 
 Apache Spark
 
 and
 
 Apache Airflow
 
 .
 </li>
 <li>
 Experience building and supporting both batch and streaming data integration pipelines.
 </li>
 <li>
 Strong understanding of data ingestion, transformation, cleansing and integration at scale.
 </li>
 <li>
 Experience implementing CI/CD pipelines using tools such as
 
 Git
 
 ,
 
 Jenkins
 
 , or equivalent.
 </li>
 <li>
 A collaborative approach with excellent communication and stakeholder engagement skills.
 </li>
 <li>
 A genuine passion for building high-quality, scalable data platforms.
 </li>
 </ul>
 
 
 
 
 
 What&rsquo;s on Offer
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge AI, machine learning and modern data engineering initiatives.
 </li>
 <li>
 Collaborative environment with experienced engineers, architects and data scientists.
 </li>
 <li>
 Modern cloud technology stack and a strong engineering culture.
 </li>
 <li>
 Exposure to innovative technologies and the freedom to evaluate and introduce new tools.
 </li>
 <li>
 Competitive salary, comprehensive benefits package and flexible hybrid working.
 </li>
 <li>
 Excellent opportunities for technical development and career progression.
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re excited by the opportunity to build scalable data platforms that underpin advanced analytics and AI solutions, please get in touch.
 
 
 
 
</div>

James Fisher & Sons PLC

<div><h3 class="jobSectionHeader">About the Role</h3>
Senior Data Engineer 
Permanent position 
Home-based

The Role: 
The purpose of the role is to provide senior technical leadership and hands on delivery of the James Fisher &amp; Sons (&ldquo;JFS&rdquo;) data platform and data products. The Senior Data Engineer is accountable for designing, building, and maintaining scalable, secure, and high-quality data solutions that support operational and strategic decision making across the business.

Operating within the Data Target Operating Model (TOM), the role acts as the technical authority for data engineering practices, translates business priorities into deliverable technical solutions, and guides a small team of Data Engineers to consistently deliver trusted, high value data products.

The Senior Data Engineer works closely with business embedded Product Owners, enabling clear prioritisation, pragmatic solution design, and sustainable delivery while ensuring the long-term integrity of the data platform.

Key Duties and responsibilities:
<ul>
<li>Act as the senior technical authority for data engineering across the organisation.</li>
<li>Define and enforce engineering standards, patterns, and best practices.</li>
<li>Own key technical decisions and manage technical debt pragmatically.</li>
<li>Manage, mentor and guide Data Engineers, supporting capability development and consistency.</li>
<li>Design, build, and maintain an integrated data platform and lakehouse architecture that meets business needs.</li>
<li>Develop and maintain logical and physical data models optimised for analytics and reporting.</li>
<li>Ensure solutions are scalable, secure, performant, and cost effective.</li>
<li>Evolve the data platform in line with business growth and emerging technologies.</li>
<li>Design and implement robust data ingestion and integration pipelines from multiple source systems.</li>
<li>Apply a medallion architecture (e.g. Bronze  Silver  Gold layers).</li>
<li>Build curated, analytics ready datasets that are trusted and well documented.</li>
<li>Ensure data quality, consistency, and traceability throughout the data lifecycle.</li>
<li>Work closely with business Product Owners to translate prioritised outcomes into technical deliverables.</li>
<li>Clarify requirements, identify dependencies, and propose realistic delivery options.</li>
<li>Balance competing domain demands through transparent sequencing and planning.</li>
<li>Communicate progress, risks, and trade-offs clearly to stakeholders.</li>
<li>Implement and maintain data governance controls within engineering solutions.</li>
<li>Support data quality monitoring, issue resolution, and continuous improvement.</li>
<li>Contribute to and maintain technical documentation, data lineage, and metadata artefacts.</li>
<li>Ensure compliance with data security, privacy, and regulatory requirements.</li>
</ul>
Continuous Improvement: 
Promote modern engineering and delivery practices across the data team. 
Introduce automation, optimisation, and improved tooling where appropriate. 
Support organisational adoption of data products through reliability and usability.

What we&rsquo;re looking for: 
You will need strong analytical and problem-solving skills with the ability to analyse complex data requirements and design effective solutions. 
A meticulous attention to detail to ensure data accuracy and integrity. 
A creative and innovative thinker, who can develop new solutions to meet evolving data challenges. 
Be a strong team player with the ability to collaborate effectively with cross-functional teams and also the ability to adapt to changing business needs and technology advancements. 
A strategic mindset with the ability to align data architecture with JFS's long-term goals.

Key skills, knowledge and experience:
<ul>
<li>Degree or equivalent in Computer Science, Information Technology, or a related field.</li>
<li>Knowledge of business analysis and process mapping (BPMN2.0 flowcharts)</li>
<li>Project Management training (PRINCE2, PMP, Agile, Scrum Master etc.)</li>
<li>Knowledge of data modelling (Unified Modelling Language, star schema)</li>
<li>Knowledge of best-practice Data Maturity and Data Quality frameworks (e.g. DAMA)</li>
<li>Strong expertise in Microsoft Azure, Fabric, Microsoft 365 platform</li>
<li>Fluency in one or more of the following programming languages (SQL, Python (pandas, PySpark, REST API integration), M Power Query, DAX, JavaScript)</li>
<li>Proven experience as a Data Architect, Data Engineer, or similar role.
</li><li>Extensive experience with database management systems, data modelling, data integration and data cleansing</li>
<li>Mandatory: Proficiency in SQL, Power BI, Python pandas, Unified Modelling Language, BPMN2.0 Process Mapping, Microsoft Visio or similar diagramming tools</li>
<li>Highly desirable: Microsoft Fabric, Power Query, Power Automate, Python AI libraries and techniques (e.g. sci-kit Learn, Transformers, Vector Databases, Retrieval Augmented Generation, Prompt Engineering)
</li><li>Experience with data warehousing, ETL processes, and data governance frameworks.</li>
<li>Experience in Organisational Change Management</li>
</ul>
<ul><li>Although this role is remote working, it will be based in the UK therefore, applicants will need to have the right to reside and work in the UK to be eligible.</li></ul>

Why join us? 
Competitive benefits tailored to the division. 
Opportunities for career growth and visibility across the organisation. 
A supportive, inclusive culture that values your ideas and contributions. 
Work that truly makes a difference in safety, innovation, and global capability.

About Us: 
James Fisher is a global engineering services company with over 50 years of experience delivering complex offshore energy projects in some of the world&rsquo;s most challenging environments. We operate across Energy, Defence, and Maritime Transport, leveraging cutting-edge technology and deep expertise to support the full lifecycle of our customers&rsquo; assets.

Visit our website at: www.james-fisher.com

If this sounds like the ideal next step in your career, then click &lsquo;apply&rsquo; now!

Due to the volume of applications, we receive for our vacancies, on occasion applications may close before the deadline, so please apply early to avoid disappointment.

James Fisher and Sons are committed to taking positive action on diversity and strongly encourage applications for candidates from all backgrounds. We are proud to be a Disability Confident employer and recognise that our success depends on our talented and diverse workforce.</div>

HOMETRACK

<div>Hybrid working pattern - 2 days per week from London Bridge Office
Hometrack is seeking an experienced Senior Data Engineer to join our product team to help us deliver Hometrack's Data Services ambitions. By building the best property data sets available, which back the market leading AVM, trusted by 17 out of the top 20 mortgage lenders in the UK, we open the door to helping all our customers make the decisions that matter to them - to buy, to lend, to build.
The Data Services team works with 100s of customers across the property sector ranging from mortgage lenders, house builders, investors, fin &amp; proptech, insurers, telco, retail and utilities, as well as others involved in the housing market. Our mission is to inform decision makers by putting the UK&rsquo;s most trusted property data and insights at the heart of the property ecosystem.
Our market intelligence and customer acquisition, retention and engagement solutions are relied upon by leading industry professionals.
Data Services has a diverse product range covering market, property and mover intelligence, delivered through varying mechanisms including data platforms, reports and APIs, providing maximum flexibility when matching our customers&rsquo; needs to the most effective data solution.
Hometrack is looking for an experienced senior data engineer to help us make this a reality.
What we&rsquo;re looking for in a Senior Data Engineer:<ul><li>
Be accountable for team outcomes, playing your part in achieving team goals and ensuring your contribution positively impacts overall success</li><li>
Be a continual improver, looking for ways to help the team do better and be better, again and again</li><li>
Write maintainable, testable code and enjoy providing code reviews</li><li>
Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance</li><li>
Be strong in Python, SQL, and PySpark</li><li>
Be passionate about building data products for stakeholders and customers, ensuring they are stable, scalable, secure, accurate, observable, and performant</li><li>
Enjoy collaborating closely with colleagues in Product, Analytics, Security, and Software, explaining technical concepts to non-technical audiences</li></ul></div>

Portaal

<div>
 Als Senior Data Engineer bij Portaal bouw je niet alleen aan ons Azure dataplatform &mdash; je bepaalt mede hoe datagedreven werken er de komende jaren uitziet. Je stapt in op een moment waarop de basis staat en jij het verschil maakt in schaalbaarheid, kwaliteit en richting. Hierbij draag je direct bij aan oplossingen voor het woningtekort en hebt impact op de leefomgeving van bijna 100.000 bewoners.
 
 
 
 Wat ga je doen?
 
 
 
 Bij Portaal stap je als Senior Data Engineer in op een kantelmoment: het Azure dataplatform staat, en jij bepaalt hoe we het verder uitbouwen naar een volwassen, toekomstbestendige dataorganisatie.
 
 
 Samen met het Datalab (7 dataspecialisten) werk je aan dataproducten die direct impact hebben op hoe wij investeren in woningen en wijken. Jij pakt daarin een duidelijke trekkersrol: je versterkt het fundament (denk aan security, privacy en schaalbaarheid) en zorgt dat nieuwe, hoogwaardige databronnen beschikbaar komen voor de organisatie.
 
 
 Jouw werk maakt het mogelijk dat we beter onderbouwde keuzes maken: van investeringen in wijken tot het verkorten van wachttijden. De komende jaren zetten we grote stappen in datavolwassenheid &mdash; en jij zit aan het stuur om die beweging technisch &eacute;n inhoudelijk vorm te geven.
 
 
 
 Je Houdt Je Onder Andere Bezig Met
 
 
 
 <ul>
 <li>
 Doorontwikkelen van het dataplatform: je maakt het schaalbaar, veilig en toekomstbestendig
 </li>
 <li>
 Bouwen van datastromen en -producten: van robuuste datapipelines tot waardevolle datasets en inzichten
 </li>
 <li>
 Ontsluiten van nieuwe databronnen: waaronder externe data (zoals leefbaarheidsdata) die je vertaalt naar impact
 </li>
 <li>
 Verhogen van datakwaliteit en volwassenheid: o.a. via dataclassificatie en standaarden
 </li>
 <li>
 Richting geven en teamontwikkeling: je denkt mee over architectuur, brengt verbeteringen in en coacht collega&rsquo;s
 
 
 </li>
 </ul>
 Je werkt hierbij intensief samen met collega&rsquo;s uit het Datalab, IT, Privacy &amp; Security en stakeholders uit de business, waarbij je een stevige gesprekspartner bent die techniek weet te vertalen naar waarde.
 
 
 
 Dit is je team
 
 
 
 Je komt terecht in team Datalab. Een enthousiast team met dataspecialisten, onderzoekers en data stewards die zich inzetten om Portaal meer data gedreven te laten werken. Je rapporteert aan de manager Datalab en werkt nauw samen met de andere dataspecialisten en de Product Owner binnen ons Scrum team. Team Datalab maakt onderdeel uit van de afdeling Strategie, waarin samen met de teams Strategie &amp; Innovatie en Communicatie iedere dag wordt gewerkt om Portaal steeds beter en slimmer te laten werken, zodat we meer impact kunnen maken voor onze bewoners. Het team heeft twee vaste kantoordagen afgesproken, de dinsdag en donderdag.
 
 
 
 Dit breng jij mee
 
 
 
 <ul>
 <li>
 WO/HBO+ richting informatica, data science of vergelijkbaar;
 </li>
 <li>
 &gt;5 jaar praktijkervaring als Analytics Engineer of Data Engineer (of vergelijkbare functies)
 </li>
 <li>
 Data platforms en data modellering hebben geen geheimen voor jou;
 </li>
 <li>
 Azure Data Platform en / of Azure Infrastructuur kennis (of snel eigen kunnen maken) is een pr&eacute;;
 </li>
 <li>
 Je deelt graag jouw kennis, die je ook actief bijhoudt. Je bent bekend met het werken in een Scrum team en omarmt deze manier van werken;
 </li>
 <li>
 Je stelt actief verbeteringen voor, denkt mee over de richting en neemt het initiatief om deze verbeteringen samen met het team te realiseren. Impact maken met concrete resultaten is waar jij voor gaat;
 </li>
 <li>
 Je beheerst de Nederlandse taal.
 
 
 </li>
 </ul>
 
 Wat bieden wij jou?
 
 
 
 <ul>
 <li>
 Een jaarcontract voor 32-36 uur per week, met de intentie om dit om te zetten naar een vast dienstverband. 4x9uur werken is mogelijk;
 </li>
 <li>
 Een salaris in schaal J van de CAO Woondiensten. De schaal loopt van &euro;4.490,- tot &euro;6.065,- per maand bij een fulltime dienstverband van 36 uur per week;
 </li>
 <li>
 Een eindejaarsuitkering van 4% van je jaarsalaris en een opleidingsbudget van &euro;900,- per jaar dat je naar eigen inzicht mag besteden aan je ontwikkeling;
 </li>
 <li>
 Een vitaliteitsbudget, waaruit jij je sportschoolabonnement of massage kan bekostigen, &oacute;f om op te tellen bij je opleidingsbudget;
 </li>
 <li>
 Veel flexibiliteit en thuiswerkmogelijkheden met een thuiswerkbudget om je werkplek goed in te kunnen richten; Het team heeft vaste kantoordagen op dinsdag en donderdag, verder ben je vrij om je werkweek in te richten zodat het voor jou werkt.
 </li>
 <li>
 Een kilometervergoeding of vergoeding van je OV-kosten (100%);
 </li>
 <li>
 Een goede pensioenopbouw via SPW (27%, waarvan 8,44% eigen bijdrage).
 
 
 </li>
 </ul>
 
 Reageren en contact
 
 
 
 Ben je enthousiast geworden over &eacute;&eacute;n van deze functies? Solliciteer dan via de knop. Heb je eerst vragen neem dan contact op met Michiel Verdegem (Senior Recruiter) via 06-83049353 of michiel.verdegem@portaal.nl.
 
 
 
 Goed om te weten
 
 
 
 Het maken van een online assessment en een Verklaring Omtrent Gedrag (VOG) zijn onderdeel van het sollicitatieproces.
 
 
 Wij vinden het belangrijk dat iedereen die bij ons woont of werkt, zich gerespecteerd en thuis voelt. We voeren een actief diversiteitsbeleid om ongelijkheid tegen te gaan, drempels weg te nemen en iedereen gelijke kansen te bieden. Iedereen die zich herkent in het functieprofiel nodigen we van harte uit te reageren.
</div>

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