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global network architect

consultant grid planning and modelling

Accenture

<div>THE WORK
The energy transition is one of the biggest engineering challenges of our time. At Accenture Industry X, we help energy companies and grid operators build smarter, more resilient electricity networks through the power of digitalization, data and engineering expertise.
As a Consultant &ndash; Grid Planning &amp; Modelling Engineering, you will work with leading transmission and distribution system operators to solve complex grid challenges and prepare networks for a more sustainable future. From addressing grid congestion to planning network expansions and integrating renewable energy sources, your work will directly contribute to shaping tomorrow's energy landscape.
This is a role for engineers who enjoy combining technical expertise with problem-solving, innovation, and client collaboration.
What You'll Do
Shape future energy networks 
Support utilities and grid operators in planning and designing future-proof electricity networks that can meet increasing demand and accelerate the energy transition.
Solve complex grid challenges 
Analyze and address issues such as grid congestion, network reinforcement, grid reconfiguration and renewable energy integration.
Develop digital and automated solutions 
Help clients modernize and automate grid planning and modelling processes, improving efficiency, accuracy and decision-making.
Turn data into meaningful insights 
Leverage modelling results and data analytics to support investment decisions, planning studies and operational improvements.
Work alongside industry experts 
Collaborate with experienced engineers, consultants and technology specialists on innovative projects across the energy sector.
Grow your career in consulting 
Develop your technical, consulting and project management skills while taking on increasing responsibilities and opportunities for leadership.
WHY JOIN US?<ul><li>
Work on projects that have a real impact on Europe's energy transition.</li><li>
Collaborate with leading transmission and distribution system operators.</li><li>
Combine engineering expertise with cutting-edge digital technologies.</li><li>
Learn continuously through training, certifications and hands-on project experience.</li><li>
Be part of a collaborative and diverse team that values innovation, flexibility and personal growth.</li></ul>
WHO WE ARE
At Industry X, we help organizations reinvent how they engineer, operate and transform their businesses.
By combining engineering, digital technologies, data and industry expertise, we help clients become more sustainable, efficient and future-ready. Our teams work at the intersection of technology and industry, solving complex challenges that create tangible business and societal impact.
Within our Energy practice, we partner with some of Europe's most influential energy organizations to accelerate the transition toward a cleaner, smarter and more reliable energy system.
Ready to make a difference? The time for change is now.</div>
 
<div>HERE'S WHAT YOU'LL NEED<ul><li>
Master&rsquo;s degree in Electrical Engineering, Systems Engineering, Energy Technology, Industrial Engineering or a related discipline.</li><li>
2+ years of experience in power systems, grid planning, power network analysis or grid operations.</li><li>
Knowledge of transmission and distribution network planning principles.</li><li>
Experience with grid modelling methodologies and engineering studies.</li><li>
Strong analytical and problem-solving skills.</li><li>
Ability to work independently while collaborating effectively within multidisciplinary teams.</li><li>
Customer-focused mindset with strong communication and stakeholder management skills.</li><li>
Fluent in Dutch and English, both written and spoken.</li></ul>
BONUS POINTS IF YOU HAVE<ul><li>
Experience with load flow calculations, stability studies or dynamic power system analysis.</li><li>
Hands-on experience with grid modelling tools such as PowerFactory, NEPLAN, Integral or similar platforms.</li><li>
Experience automating grid planning or modelling activities.</li><li>
Knowledge of scripting, data analytics, machine learning or AI applications in the energy sector.</li><li>
Familiarity with European energy regulations, market structures and grid codes.</li><li>
Certification in Agile, PRINCE2, PMP or other project management methodologies.</li><li>
Experience in a consulting or client-facing environment.</li><li>
Experience managing stakeholders and translating technical concepts into business value.</li></ul>
For More Senior Candidates<ul><li>
Demonstrated experience leading client engagements and technical workstreams.</li><li>
Experience developing proposals, managing delivery teams and supporting business growth.</li><li>
Proven ability to coach and mentor junior engineers and consultants.</li></ul>
Don't Meet Every Requirement?
That's perfectly okay. We're looking for curious, motivated people who are passionate about engineering and the energy transition. If you're excited about this role and believe you can make an impact, we encourage you to apply.</div>

Consultant Grid Planning and Modelling

Yellowgrape

<div><div><div><div><h2 class="jobSectionHeader">Van voorspelling naar impact: bouw modellen die marketing slimmer maken.</h2></div><div>
&ndash; To be considered for this role, you must already live in the Netherlands. Unfortunately, we are not able to support relocation or applications from abroad &ndash;
&zwj;Ben jij in staat om grote hoeveelheden data om te zetten in waardevolle inzichten? Heb je ervaring met het ontwikkelen van voorspellende modellen en het automatiseren van analyses? Dan hebben wij d&eacute; perfecte job voor jou bij Yellowgrape!
Als Data Scientist speel je een sleutelrol in het ontdekken en voorspellen van trends, gedrag en behoeften. Je werkt aan onderwerpen als Marketing Mix Modelling, attributiemodellering en incrementality testing. Soms betekent dat een model bouwen. Soms betekent het juist dat je een complexe analyse terugbrengt naar &eacute;&eacute;n kraakheldere keuze: doorgaan, bijsturen of stoppen.
Met jouw expertise voeg je waarde toe aan diverse use cases. Je werkt nauw samen binnen het Data &amp; Intelligence team met data consultants, -analysten en -engineers om geavanceerde oplossingen te ontwikkelen die zowel de effici&euml;ntie verhogen als de impact van marketingcampagnes maximaliseren. Bij Yellowgrape krijg je de kans om je stempel te drukken op innovatieve projecten en bij te dragen aan het succes van onze klanten.</div></div></div>
<div><div><div><h2 class="jobSectionHeader">
Waar jij blij van wordt in je rol</h2></div><div><ul><li>
Marketing Mix Modelling om de impact van kanalen en budgetverdeling beter te begrijpen;</li><li>
Attributiemodellering, zodat we verder kijken dan last-click en omzetwaarde eerlijk te verdelen over touchpoints heen;</li><li>
Incrementality testing om te toetsen welke campagnes, kanalen of experimenten aantoonbaar extra waarde opleveren;</li><li>
Predictive analytics voor onder meer klantwaarde, churn, herhaalaankoop en groeikansen;</li><li>
Heldere analyses en visualisaties die marketeers, strategen en klanten direct kunnen gebruiken.</li></ul></div></div></div>
<div></div><div><div><div><h2 class="jobSectionHeader">Zo pas jij goed in deze rol</h2></div><div><ul><li>
Minimaal 2-3 jaar ervaring als Data Scientist, Data Analyst met modelleringsfocus of relevante werkervaring met statistiek of econometrische modellen;</li><li>
Je comfortabel werkt met Python, SQL en data-analyse;</li><li>
Marketingdata interessant vindt en snapt dat context net zo belangrijk is als techniek;</li><li>
Kritisch kijkt naar aannames, datakwaliteit en meetbaarheid;</li><li>
Helder communiceert met zowel technische als niet-technische collega&rsquo;s;</li><li>
Energie krijgt van samenwerken in multidisciplinaire klantteams.</li><li>
Je hebt ervaring met cloud platforms (bij voorkeur Google Cloud-stack);</li><li>
Bekend met Bayesian modelling of andere statistische methoden</li><li>
Vloeiend in Nederlands en Engels (zowel mondeling als schriftelijk);</li><li>
Je wilt graag werken in een organisatie die door cultuur wordt gedreven;</li><li>
Je kijkt ernaar uit om te werken in een betrokken team;</li><li>
Je bent in staat om problemen te identificeren, bespreekbaar te maken en op zoek te gaan naar oplossingen;</li><li>
Je bent minimaal 32 uur per week beschikbaar.</li></ul></div></div></div>
<div><div><div><h2 class="jobSectionHeader">Wat jij van ons mag verwachten</h2><h2 class="jobSectionHeader">
Je zoekt geen baan, je zoekt een plek waar je werk ertoe doet &eacute;n je jezelf kunt zijn. Hier is wat je bij ons mag verwachten.</h2></div><div><ul><li>
Je werkt vanuit ons gezellige kantoor in Amsterdam of Berlijn, beide in het bruisende hart van de stad;</li><li>
Via ons exchange programma kun je tijdelijk switchen tussen Berlijn en Amsterdam, een unieke kans om cultuur en werkervaring te combineren.</li></ul><h5 class="jobSectionHeader">
Groeien als professional &eacute;n als mens</h5><ul><li>
Jij krijgt de ruimte: veel verantwoordelijkheid, vertrouwen en de vrijheid om zelf initiatief te nemen;</li><li>
We coachen je op zowel persoonlijke groei als competentieontwikkeling, zodat je steeds dichter bij je volle potentieel komt;</li><li>
Je werkt met het TMA Talentmanagement programma, waarbij we jouw aangeboren drijfveren en talenten inzetten om jou elke dag in je kracht te zetten;</li><li>
Er zijn volop opleidingsmogelijkheden om te blijven groeien in jouw vakgebied.</li></ul><h5 class="jobSectionHeader">
Een eerlijk salaris &amp; transparante voorwaarden</h5><ul><li>
Je ontvangt een eerlijk en transparant salaris op basis van het Baarda beloningsmodel, afgestemd op je toegevoegde waarde;</li><li>
Amsterdam: 25 vakantiedagen + 8% vakantietoeslag;</li><li>
Berlijn: 28 vakantiedagen;</li><li>
Een Apple MacBook in bruikleen voor je dagelijkse werk;</li><li>
Reiskostenvergoeding en een pensioenregeling, afhankelijk van je standplaats (Amsterdam of Berlijn).</li></ul><h5 class="jobSectionHeader">
Fit, gefocust en vol energie</h5><ul><li>
Elke dag een verse, gezonde lunch op kantoor;</li><li>
Goede koffie? Die komt van een lokale branderij uit Amsterdam: ambachtelijk gebrand en altijd vers</li><li>
Blijf fit met ons sportschool abonnement of doe mee via het fietsplan.</li></ul><h5 class="jobSectionHeader">
Samen werken, samen vieren</h5><ul><li>
We zijn een gecertificeerd 'Excellent Workplace' door 2DAYSMOOD en daar zijn we trots op;</li><li>
Vrijdagmiddagborrels, feestjes op de Yellowgrape-sloep en inspirerende teamuitjes zorgen voor verbinding en plezier;</li><li>
We werken volgens onze eigen holacratische werkwijze: de Yellowcratie. Dat betekent veel autonomie, duidelijke rollen en samenwerken op basis van vertrouwen in plaats van hi&euml;rarchie.</li></ul></div></div></div></div>

Data Scientist

RedCarpet®

<div>
 
 
 Jouw uitdaging
 
 
 
 Wil jij werken met de nieuwste technologie&euml;n binnen het Microsoft data-ecosysteem en bouwen aan schaalbare, toekomstbestendige dataplatformen? Als Senior Data Engineer speel je een sleutelrol in het ontwerpen en realiseren van moderne data-oplossingen.
 
 
 
 
 
 Je werkt aan complexe datavraagstukken binnen enterprise-omgevingen en helpt organisaties om volledig datagedreven te opereren. Van het bouwen van robuuste pipelines tot het neerzetten van complete lakehouse-architecturen: jij maakt het mogelijk.
 
 
 
 
 
 
 Onze partners &amp; sectoren
 
 
 
 Wij werken samen met een zorgvuldig opgebouwd netwerk van partners en opdrachtgevers binnen uiteenlopende sectoren. Hierdoor bieden wij dataprojecten die niet alleen technisch uitdagend zijn, maar ook inhoudelijk en maatschappelijk relevant.
 
 
 
 
 
 Onze partners zijn actief binnen onder andere de financi&euml;le dienstverlening, overheid en semi-overheid, energie, zorg, logistiek en bouw. Elke sector kent zijn eigen dynamiek en datavraagstukken, wat zorgt voor veel afwisseling en verdieping in je werk.
 
 
 
 
 
 Of je nu werkt aan schaalbare dataplatformen binnen finance, datagedreven oplossingen binnen de (semi-)overheid of innovatieve data-architecturen binnen energie of logistiek: jouw werk vormt de basis voor impactvolle inzichten.
 
 
 
 
 
 
 Wat ga je doen?
 
 
 
 &bull; Ontwerpen en implementeren van moderne data-architecturen (lakehouse, medallion)
 
 
 &bull; Bouwen en optimaliseren van data pipelines met Azure Data Factory en/of Microsoft Fabric
 
 
 &bull; Werken met Azure Synapse Analytics en/of Fabric Data Warehouse
 
 
 &bull; Inrichten en beheren van Azure Data Lake (Gen2)
 
 
 &bull; Integreren van databronnen via API&rsquo;s, streaming en batchprocessen
 
 
 &bull; Implementeren van CI/CD pipelines met Azure DevOps
 
 
 &bull; Toepassen van data modelling principes (bijv. dimensioneel modelleren, Data Vault)
 
 
 &bull; Optimaliseren van performance, kosten en schaalbaarheid
 
 
 &bull; Samenwerken met data scientists, analisten en stakeholders
 
 
 &bull; Adviseren over best practices, architectuur en datagovernance
 
 
 
 
 
 
 Wat breng je mee?
 
 
 
 &bull; Minimaal 5 jaar ervaring als Data Engineer
 
 
 &bull; Sterke ervaring binnen de Microsoft stack
 
 
 &bull; Ervaring met Azure Data Factory, Synapse Analytics en/of Microsoft Fabric
 
 
 &bull; Ervaring met Azure Data Lake en moderne data-architecturen
 
 
 &bull; Uitstekende kennis van SQL en Python
 
 
 &bull; Ervaring met Databricks (bij voorkeur binnen Azure)
 
 
 &bull; Kennis van Spark en distributed computing
 
 
 &bull; Ervaring met CI/CD en DevOps (Azure DevOps, Git)
 
 
 &bull; Kennis van data modelling technieken (Kimball, Data Vault)
 
 
 &bull; Ervaring met Power BI is een pr&eacute;
 
 
 &bull; Kennis van security, governance en data quality is een pr&eacute;
 
 
 &bull; Sterk probleemoplossend vermogen en communicatieve vaardigheden
 
 
 
 
 
 
 Wat krijg je ervoor terug?
 
 
 
 &bull; Werken met de nieuwste technologie&euml;n binnen de Microsoft data stack
 
 
 &bull; Projecten binnen complexe en datagedreven organisaties
 
 
 &bull; Veel ruimte voor eigen inbreng en technische keuzes
 
 
 &bull; Samenwerking met senior data professionals
 
 
 &bull; Marktconform salaris of aantrekkelijk zzp-tarief
 
 
 &bull; Flexibele werkvormen en hybride werken
 
 
 &bull; Volop mogelijkheden om jezelf verder te ontwikkelen en certificeringen te behalen
 
</div>

Data Engineer

Vinted

<div>
 
 Brief Info About Vinted
 
 
 
 Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life &ndash; or even a third.
 
 
 The Vinted Group is made up of three business units that support this mission:
 
 
 
 Vinted Marketplace
 
 is Europe&rsquo;s leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life.
 
 
 
 Vinted Go
 
 enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces.
 
 
 
 Vinted Pay
 
 is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members.
 
 
 Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people.
 
 
 
 Information About The Position
 
 
 
 Vinted&rsquo;s
 
 Marketing domain
 
 is growing - we&rsquo;re on a mission to make Vinted known and loved as the go-to destination for everything second-hand. Marketing is one of the primary drivers behind our biggest strategic goals, from
 
 winning the USA market
 
 to expanding beyond fashion into a
 
 multi-vertical platform
 
 .
 
 
 We&rsquo;re looking for 2 x
 
 Data Scientists
 
 to join our
 
 Marketing Modelling Intelligence
 
 team to hands-on build, refine, and scale our core predictive and explanatory models. In this role, you will be the technical engine behind our Bayesian Media Mix Models (MMM), user value machine learning models, and advanced statistical frameworks. Your focus will be on engineering robust, high-performing models that transform complex data into the precise insights our domain relies on.
 
 
 
 In this position, you&rsquo;ll
 
 
 
 <ul>
 <li>
 Evolve Our Marketing Measurement: Code, calibrate, and scale our Bayesian Media Mix Models (MMM) and ROI frameworks to unlock precise business insights.
 </li>
 <li>
 Build and Deploy Core Models: Build and maintain sophisticated econometric and statistical models (MMM, GMV, engagement) to quantify marketing impact and guide multi-channel growth.
 </li>
 <li>
 Automate Model Validation &amp; Health Monitoring: Design automated frameworks and reliability metrics that continuously monitor model health and ensure long-term accuracy.
 </li>
 <li>
 Build Next-Gen, Automated Capabilities: Drive the ambition toward intelligent data products [such as self-healing MMMs] using modern AI and automation to optimize model runtimes and scale our ecosystem as Vinted grows.
 </li>
 <li>
 Partner Decision Scientists &amp; Marketing Leadership: Act as the core technical partner, translating complex mechanics into clear concepts and helping the team connect model outputs to robust business decisions.
 </li>
 <li>
 Champion Modelling Excellence: Maintain a high bar for code quality, rigorous validation, and reproducibility to ensure our data science practices remain clean and trusted.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Proven Data Science Experience: Hands-on experience focused on advanced statistical, econometric, or time-series modelling (experience in marketing measurement/MMM is an advantage).
 </li>
 <li>
 Deep Theoretical Knowledge: Strong foundation in advanced statistics, causal inference, and regression. Familiarity with probabilistic programming (e.g., PyMC) is a major plus.
 </li>
 <li>
 Research-to-Application Mindset: Ability to read scientific papers, explore state-of-the-art techniques, and replicate or adapt advanced methodologies to solve complex problems.
 </li>
 <li>
 Production-Grade Engineering: Highly proficient in Python, with a passion for building models as data products. You design your pipelines and code so they are modular, reproducible, and easily used or extended by other scientists.
 </li>
 <li>
 Business-Minded Tech Partner: You care deeply about the why behind your code, naturally connecting technical model outputs to commercial metrics and business outcomes.
 </li>
 <li>
 Educational Background: A Master&rsquo;s or PhD degree in a highly quantitative discipline (Statistics, Econometrics, Mathematics, Data Science, or similar).
 </li>
 <li>
 Impactful storyteller: A charismatic and confident presenter who navigates any topic&rsquo;s technicality, actively driving and facilitating strategic business conversations across both technical and leadership audiences.
 
 
 </li>
 </ul>
 
 Work perks
 
 
 
 <ul>
 <li>
 The opportunity to benefit from our share options programme
 </li>
 <li>
 25 days of paid annual leave
 </li>
 <li>
 Newest MacBook models
 </li>
 <li>
 Confidential Employee Assistance Program (EAP) for you and your family
 </li>
 <li>
 Frequent team-building events
 </li>
 <li>
 Home office support: we provide IT workstation equipment and a personal budget of up to &euro;540 for home workplace furniture
 </li>
 <li>
 Lunch benefit per working day
 </li>
 <li>
 Access to a discounted gym membership plan
 </li>
 <li>
 A personal monthly budget for shopping on Vinted
 </li>
 <li>
 Collective Defined Contribution Pension plan
 </li>
 <li>
 NS Business Card for your commute to the office by public transport
 </li>
 <li>
 The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
 </li>
 <li>
 A dog-friendly office
 
 
 </li>
 </ul>
 
 Working at Vinted
 
 
 
 
 Individual Learning Budget
 
 
 
 We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more.
 
 
 
 Hybrid Work
 
 
 
 We&rsquo;ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It&rsquo;s up to you and your team to decide on the exact days you&rsquo;ll spend working together in person.
 
 
 
 Equal Opportunity
 
 
 
 The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.
 
 
 The annual gross salary range for this position is:
 
 
 &euro;53.900&mdash;&euro;91.500 EUR
</div>

Data Scientist, Marketing Modelling Intelligence

Cognizant

Solution Architect – Data & AI
 Job Summary
 We are seeking an accomplished Data Solution Architect to join our banking technology team. This role offers a unique opportunity to define and shape data architecture strategy for large-scale, data-driven transformation programmes within a complex financial services environment.
 You will bring deep expertise in designing and delivering cloud-based data platforms, combined with strong knowledge of banking data domains. As a senior leader, you will engage with C-suite stakeholders, drive data modernisation initiatives, and ensure that enterprise data solutions are scalable, secure, and aligned with regulatory standards.
 Key Responsibilities
 Lead end-to-end solution architecture for data-centric programmes, from data ingestion and storage through to consumption, analytics, and reporting
 Define and govern enterprise-wide data architecture standards, patterns, and reference models
 Design scalable and resilient data platforms supporting both batch and real-time processing, including data lakes, data warehouses, and lakehouse architectures
 Architect and deliver cloud-native and hybrid data solutions across Azure, AWS, or GCP
 Apply deep banking domain expertise to architect solutions across core banking, risk, finance, regulatory reporting, and customer data domains
 Engage with senior business and technology stakeholders to shape data strategy and translate it into actionable architecture roadmaps
 Contribute to data governance forums and ensure alignment with regulatory and compliance requirements
 Mentor and guide solution architects and technical leads across delivery teams
 Essential Skills
 Extensive experience within banking or financial services (retail, corporate, investment, or transaction banking)
 Extensive expertise in data architecture, including data modelling, data pipelines, data platforms, governance, and data quality
 Strong experience delivering large-scale, data-centric transformation programmes
 Strong hands-on experience architecting solutions on major cloud platforms such as Azure, AWS, or GCP
 Nice to Have Skills
 Good exposure to AI/ML platforms, with familiarity in Generative AI use cases
 Relevant professional certifications (e.g., AWS/GCP/Azure Data Engineer, TOGAF, Databricks Certified Data Engineer, CDMP)
 Strong collaboration, adaptability, and entrepreneurial mindset
 Familiarity with data mesh architectures and domain-oriented data ownership models
 Qualifications
 Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
 Professional certifications in cloud, architecture, or data management are advantageous
 What We Offer
 Competitive salary
 Technology-driven organization
 Open team spirit
 International environment
 Contact the Recruiter
 Megha Nagpal
 Email: Megha.Nagpal3@cognizant.com
 Phone: +31 6 2715 5643

Solution Architect - Data & AI

Tibber

<div>We're at a pivotal moment for both Tibber and the planet. When joining Tibber, you won&rsquo;t just help scale a forward-thinking tech company &ndash; you&rsquo;ll contribute to a real shift in how people consume electricity. With millions of smart devices connected to the Tibber platform (like electric vehicles and smart thermostats), we have one of the most unique energy trading portfolios on the market.
We&rsquo;re looking for a Senior Ai Platform Engineer to join us in making the energy transition happen &ndash; maybe that&rsquo;s you?
Job Mission
As a Senior AI Platform Engineer, you&rsquo;ll join the Agentic Enablement side of our Platform team and help build the technical foundation for how Tibber adopts and scales agentic systems across engineering.
Your focus will be on the architecture, workflows and trust infrastructure that allow AI agents to safely support software development - from writing and testing code to reviewing changes, triggering workflows and knowing when to involve a human.
This is a platform role, which means the engineers building agents at Tibber are your users. Your success is measured by how quickly and confidently they can move from idea to production without needing you in the room.
This role is for someone who enjoys building reliable systems, thinking deeply about architecture and helping teams adopt new ways of working with confidence.
What you'll do
<ul><li>Contribute to the design and architecture of Tibber&rsquo;s agentic development platform, including orchestration layers, platform integrations, feedback loops and escalation paths, and the developer-facing CLI and onboarding experience.</li><li> 
Take ownership of key platform components, from design and implementation to reliability and continuous improvement.</li></ul><ul><li>
Help define workflows, quality standards and ownership models for how agents can write, test, review and support code.</li><li> 
Help shape safe and reliable agentic workflows, including human-in-the-loop boundaries.</li><li> 
Build trust infrastructure that makes agentic systems observable, secure, reversible and reliable in production.</li><li> 
Work closely with Staff Engineers and the wider Platform team to build on Tibber&rsquo;s AWS, Kubernetes and infrastructure foundations.</li><li> 
Bring people along through clear technical communication, thoughtful collaboration and strong engineering judgment.</li></ul>
What we're looking for
You are driven by impact and know how to turn strategy into execution. You're used to fast-paced environments and thrive when given clear goals and high accountability.
 
 
We believe you'll thrive here if you:<ul><li>
Bring hands-on production experience building and running reliable agentic software systems.</li><li> 
Treat evaluation as a first-class engineering concern, you&rsquo;ve built eval pipelines for non-deterministic systems, whether LLM-as-judge, regression suites, or golden datasets, and know that measuring agent quality in production is an ongoing discipline, not a launch checklist.</li><li> 
Bring hands-on production experience building and running reliable agentic software systems.</li><li> 
Have strong infrastructure knowledge across Kubernetes, Terraform, Infrastructure as Code, and platform networking.</li><li> 
Demonstrate strong software engineering depth in TypeScript, with the ability to own and operate services end-to-end.</li><li> 
Enjoys to communicate technical directions and collaborate with engineering teams to enable adoption, and turn platform capabilities into real impact.</li><li> 
Apply a strong security mindset to agent permissions, least-privilege designs, and blast radius awareness.</li><li> 
Have working knowledge of Model Context Protocol (MCP), evaluation frameworks, or cloud capabilities like AWS Bedrock.</li></ul>
&zwj;️&zwj;️The Tibber Mindset
Tibber exists to drive energy independence - away from fossil dependency. Our tech helps hundreds of thousands of households shift their electricity consumption to more sustainable and affordable hours - from electric vehicles to smart thermostats, all connected to the Tibber platform. We strengthen the resilience of the grid. Not in theory. In everyday life.
We win, fail, and grow together, staying curious and pushing for better every day. AI is shaping how we work - and we're on a journey to make it central to everything we do. The further we go, the more our Tibberinos matter - and yes, that's what we call ourselves!
Started by two founders in 2016. Now 300+ Tibberinos across Stockholm, Oslo, Berlin, Amsterdam, and F&oslash;rde. And we're still just getting started.
You're welcome at Tibber for who you are. We hire for what you can do and how you think - not your background or where you've been. Diverse teams build better products, and we mean that.</div>

Senior AI Platform Engineer

Saga Legal AI

<div>Saga is a legal innovation company on a mission to remove the friction between legal expertise and real-world impact, so lawyers can focus on what matters the most: people, ethics, and impact. Founded in Norway and built for the legal profession from day one, we integrate with local legal sources across jurisdictions and are currently available in 12 languages. In just 18 months, we've grown to 70+ employees and 5,000+ users across 20+ countries - with market leadership in Norway and the Netherlands, and active expansion across Europe. We believe technology shouldn't replace legal reasoning, but strengthen it - so the law can work as it's meant to: aligned, accountable, and capable of delivering justice for everyone.
Your role as Corporate Finance &amp; Investor Relations Manager 
This role sits right at the heart of Saga&rsquo;s growth journey, where you&rsquo;ll be owning our investor relationships and corporate finance workstream end-to-end. You'll work closely with our CFO on high-stakes, high-impact work - from managing investor communications to supporting strategic transactions and capital raising processes. It's a role with real responsibility from day one, in a fast-moving org where things evolve quickly and your contribution will be visible.
What you&rsquo;ll be doing<ul><li>
Own all investor-facing communications and materials - quarterly updates, board packs, and funding decks - maintaining a consistent and credible narrative across every touchpoint</li><li>
Lead capital raising support and transaction-related workstreams, including preparation of investment memoranda, management of investor processes, and coordination of due diligence</li><li>
Build and maintain strong relationships with institutional investors, serving as a trusted representative of the company</li><li>
Manage communication with key internal stakeholders, including co-founders, executives, and other company leaders, ensuring alignment around fundraising, transaction processes, timelines, and sensitive strategic priorities</li><li>
Drive strategic finance projects and ad-hoc analyses that inform key decisions around runway, valuation, and use of funds</li><li>
Manage incoming investor requests, ensuring relationships with existing and prospective investors are well-maintained and nurtured</li></ul> 
What you bring to our team<ul><li>
2-4 years of experience in investment banking, private equity, venture capital, transaction services or consulting</li><li>
Great communicator in writing and conversation, and can convey details with clarity, coherence, and warm professionalism</li><li>
Strong financial modelling and analytical skills, with the ability to translate numbers into clear, well-structured narratives</li><li>
Excellent attention to detail, particularly when it comes to complex financial structures, documentation, and investor-facing outputs</li><li>
Genuine curiosity for business drivers and a commercial mindset - you want to understand how the company grows, not just track the numbers, and you can translate that understanding into clear corporate communications and investor-facing narratives</li><li>
Comfortable working in an early-stage start-up environment, where structure is still being built, priorities can shift quickly, and ownership sits close to the work</li></ul>
Why join Saga Legal 
Saga is a fast-growing legal innovation company on a mission to remove the friction between legal expertise and real-world impact - and we're just getting started. We're a team of lawyers, engineers, and builders spread across multiple countries and continents, bringing a genuinely international perspective to everything we do. If you thrive in a flat, high-ownership environment where you're building from the ground up and the pace is real, this is the place for you. We also offer:<ul><li>
A salary range of &euro; 59,500&ndash; &euro; 72,250 per year, plus bonus</li><li>
This role is open in Amsterdam or Oslo. Compensation and benefits are competitive and aligned with local market standards for each location.</li><li>
A chance to build the learning foundation for one of Europe's fastest-growing AI companies serving clients globally</li></ul><ul><li>
Autonomy to build and experiment, with direct impact on company strategy and client success</li><li>
Hybird culture with connection hubs in Amsterdam and Oslo</li><li>
An international team that moves fast, thinks clearly, and builds with care</li></ul>
Our process
If this sounds like the kind of challenge you want to own, we'd love to meet you.</div>

Corporate Finance & Investor Relations Manager

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