Technology Talent Solutions for Germany's Leading Businesses

Client Solutions Manager – Entertainment Location: London – 4 days onsite (Monday–Thursday) Rate: Up to £300 per day PAYE Contract: 12 months Start Date: December 2026 The Role We are seeking an experienced Client Solutions Manager to drive digital marketing performance across the entertainment industry, working with film studios, music companies, publishers, and streaming services. You will partner with clients, media agencies, and internal teams to manage campaigns, analyse performance, and identify opportunities to maximise advertising effectiveness and revenue. Key Responsibilities Set up, manage, and audit campaigns using Meta Ads Manager. Analyse campaign data and develop performance insights. Deliver media strategies aligned with client objectives and KPIs. Identify optimisation opportunities and drive product adoption. Build strong relationships with clients, agencies, and internal stakeholders. Requirements 4–5 years’ experience in digital advertising, social media, or client solutions. Extensive, hands-on knowledge of Meta Ads Manager. Strong analytical, communication, and project management skills. Ability to multitask and perform under pressure. Media agency or in-house social media experience is desirable. Please note: Four days onsite in London, with potential overtime and occasional travel across Europe and the US. Client Solutions Manager – Entertainment Location: London – 4 days onsite (Monday–Thursday) Rate: Up to £300 per day PAYE Contract: 12 months Start Date: December 2026 The Role We are seeking an experienced Client Solutions Manager to drive digital marketing performance across the entertainment industry, working with film studios, music companies, publishers, and streaming services. You will partner with clients, media agencies, and internal teams to manage campaigns, analyse performance, and identify opportunities to maximise advertising effectiveness and revenue. Key Responsibilities Set up, manage, and audit campaigns using Meta Ads Manager. Analyse campaign data and develop performance insights. Deliver media strategies aligned with client objectives and KPIs. Identify optimisation opportunities and drive product adoption. Build strong relationships with clients, agencies, and internal stakeholders. Requirements 4–5 years’ experience in digital advertising, social media, or client solutions. Extensive, hands-on knowledge of Meta Ads Manager. Strong analytical, communication, and project management skills. Ability to multitask and perform under pressure. Media agency or in-house social media experience is desirable. Please note: Four days onsite in London, with potential overtime and occasional travel across Europe and the US.

Senior Data & AI Platform Specialist (Microsoft Fabric + GenAI) Contract | 12 months + extension | Paris, 3 days onsite / 2 remote | Up to €800/day | Start 2 Dec 2026 or 4 Jan 2027 The role A bank in Paris is looking for a senior, hands-on data specialist to shape and deliver new data products and AI capabilities on its Microsoft Fabric platform. You’ll dig into the data estate, find gaps and opportunities, and turn them into working solutions: reporting, reusable data assets and AI-powered tools that make the data more useful across the business. What you’ll do Design new datasets, semantic models, KPIs and Power BI reporting from business and technical requirements Identify and build AI use cases on Fabric using Claude and Microsoft Copilot, including anomaly detection, reconciliation, classification and intelligent data processing Use AI to improve metadata enrichment, semantic discovery and information retrieval Build reusable AI services, accelerators and platform components that work across multiple business areas Define data quality, lineage and control requirements for new capabilities Write functional specifications, technical designs and prototypes Work with business analysts, SMEs, data engineers and architects to shape the platform roadmap What you’ll bring 10+ years in BI, data product delivery or data platform work Advanced SQL and strong data modelling Solid Power BI and Microsoft Fabric experience Hands-on delivery of AI-enabled data solutions with Claude and/or Copilot (real use cases, not just pilots) Strong grasp of data quality, governance and metadata management Comfortable working autonomously and explaining technical ideas to non-technical stakeholders Fluent English or French, with working knowledge of the other Nice to have Banking or financial services experience Experience defining future-state platform architecture and data strategy

Senior Talent Partner Trust In SODA London Area, United Kingdom (Hybrid) SaveApply Senior Talent Partner | London (Hybrid) | Global EdTech   I'm working with an award-winning, globally recognised technology business that is looking to hire a Senior Talent Partner to join its growing People team in London.   This is a highly visible role that sits at the intersection of Talent Acquisition, HR Business Partnering and Organisational Design, supporting senior leadership across the UK and international markets.   The role offers the opportunity to influence business growth, workforce planning and people strategy while helping shape how AI is embedded across hiring and HR processes.   The role will involve: Leading end-to-end recruitment for roles across Technology, Product, Commercial and Corporate functions up to Director level. Partnering closely with senior leaders to define hiring needs, organisational structures and future workforce plans. Acting as the go-to expert on UK employment law, employee relations and HR best practice. Supporting organisational change, restructuring and wider People initiatives. Driving the adoption of AI-powered recruitment and HR tools to improve efficiency, candidate experience and hiring outcomes. Managing recruitment delivery through a combination of direct sourcing, agency partnerships and internal support teams. Using data and metrics to optimise hiring performance, including time-to-hire, source effectiveness and candidate conversion.   What they're looking for: Strong in-house Talent Acquisition experience recruiting mid-to-senior level talent. Solid HR generalist experience with a good understanding of UK employment law and employee relations. Experience partnering with senior stakeholders on organisational design and workforce planning. A genuine interest in AI and experience leveraging AI tools within recruitment, people operations or HR processes. Strong stakeholder management skills with the confidence to influence at leadership level. Comfortable working in a fast-paced, international environment with exposure to global teams.   Why consider it? Strategic role with significant visibility across the business. Opportunity to influence both people and hiring strategy. Work with a forward-thinking organisation actively investing in AI and innovation. Collaborative, international culture with strong leadership exposure. Excellent benefits package, development opportunities and hybrid working mode

JOB TITLE: Senior Data & AI Architecture Consultant (Databricks & MLOps) CLIENT: EPAM Systems (end client: life sciences, not disclosed) CLIENT CONTACT: Dunja Jankovic, Lead Recruiter (Belgrade), +381 69 807 6952 PPR#: 835188663 / 1118825176 / 1124362035 (third TBC, confirm whether 3 headcount) OWNER: Max Binnie DATE RECEIVED: 03/11/2026 STATUS: Live, sourcing CONTRACT TYPE: B2B contract, full-time START: ASAP END: 29/05/2027 ROLE BRIEF EPAM needs a senior, hands-on architecture consultant for a life sciences client to define the end-to-end MLOps and Databricks delivery approach. The role covers assessing current ML implementations, setting standards and the operating model, and turning architecture into playbooks for engineering teams. The consultant then validates the approach on live ML products. It’s a mix of hands-on technical credibility and operating model and documentation work. The consultant works alongside enterprise architects and platform SMEs. The client has a Denmark and India footprint. RATES (charge rate to EPAM / max pay to contractor, 115% margin cap per MSA, 8h day) Western Europe: €97.30/hr (€778/day) / €84.60/hr (€675/day). Margin ~€103/day Denmark: DKK 697.20/hr (DKK 5,578/day) / DKK 606/hr (DKK 4,850/day). Margin ~DKK 728/day Poland: €62.30/hr (€498/day) / €54.17/hr (€433/day). Margin ~€65/day Eastern Europe: €58.10/hr (€465/day) / €50.52/hr (€404/day). Margin ~€61/day Some flex above cap per Dunja; share strong profiles slightly over. Est. GP per head (Western, ~140 days): ~€14.5k LOCATIONS Open: Denmark, Poland, Eastern Europe, Western Europe Excluded: Ukraine, Hungary Sourcing focus: Portugal, Spain, Greece (Western rate goes furthest) OFFICE / TRAVEL Denmark-based: office every two weeks All other locations: office and travel on request, to be agreed with the client. Candidates must be open to travel. MUST-HAVES AI & ML strategy, Databricks, ML architecture Hands-on Databricks delivery in an architecture or technical consulting role MLOps: MLflow (tracking, registry), Unity Catalog, Delta Lake, model serving and batch scoring, monitoring, retraining CI/CD and environment promotion for data and ML (Databricks Asset Bundles, Azure DevOps, GitHub Actions) Data engineering, architecture governance, data governance, data quality Ability to translate architecture into standards, playbooks and engineering guidance NICE-TO-HAVES Snowflake (Snowpark, Cortex, dbt) LLMOps, AgentOps, RAG Pharma, life sciences or regulated industry (GxP, IT audit) KEY RESPONSIBILITIES Define the MLOps lifecycle, from feature prep to deployment, monitoring, retraining and rollback Build the Databricks delivery operating model and Snowflake and Databricks interoperability patterns Rationalise platform documentation (keep, update, merge, retire, create) Produce reference patterns, decision guides and playbooks with mandatory controls Run SME interviews and working sessions on the target operating model Support governance: stage gates, ADRs, production readiness, PII and data contracts Build role-based onboarding paths and knowledge management EPAM SUBMISSION CHECKLIST Send submissions to WFACVSubmissionsEMEA@epam.com with the PPR# in the subject line Complete the PPR_Epam.docx submission table for every candidate No logos on the CV, max 5 pages, at least 2 years of employers listed Confirm whether past roles were as an employee or a contractor, and any previous EPAM projects or interviews Ltd company only in Germany and Switzerland £1m PI and cyber insurance Rate transparency: contractor rate plus the all-in charge rate

Advanced Data Engineer DEN Role Overview • Role: Lead Data Engineer — Snowflake / DBT / AWS • Seniority Level: Lead (8+ years of experience) • Core Mission: Drive the development of Commercial Data Products within the enterprise Common Data Platform (CDP), supporting advanced analytical data products, feature datasets, and machine learning pipelines. Key Responsibilities • Data Modeling & Transformations: Implement advanced DBT transformations and Snowflake models to query, shape, and structure data for analytical consumption. • Pipeline Development: Build robust ingestion pipelines and ETL workflows using AWS data services (Lambda, S3, Glue, Step Functions). • Code & SQL Optimization: Write and optimize complex SQL and Python code (PySpark where needed) for high-performance data processing. • API Integration: Integrate API and external data sources, ensuring robust error handling, retries, and secure connectivity. • ML & Feature Support: Build and maintain feature datasets and views in Snowflake that feed analytics workflows (such as Dataiku), and collaborate with Data Science teams around Feature Store management. • Quality & Operations: Create comprehensive testing, monitoring, runbooks, and CI/CD pipelines for production-grade data assets. • Cross-Functional Collaboration: Partner closely with Data Science, product, delivery, and BI teams to support reporting and analytical needs. Must-Have Requirements & Skills • Experience: Minimum 8+ years of professional experience in Data Engineering. • Core Technologies: Hands-on expertise with DBT and Snowflake. • Programming: Strong programming skills in Python and SQL (PySpark preferred). • Cloud & Ingestion: Practical AWS data services experience (Lambda, S3, Glue, Step Functions) and experience with API-based data ingestion. • Pipelines & MLOps Support: Proven experience building production data pipelines, data modeling, testing, monitoring, and CI/CD. • Environment: Comfortable working in governed enterprise environments. Nice-to-Have / Preferred Skills • Knowledge of the commercial domain within the pharmaceutical or life sciences industry (healthcare, claims, HCP, patient support, or Veeva data experience).

Product Success Lead Location: London, 83 Victoria Street (4 days a week in the office, 1 day from home), plus agents' offices for go-lives | Full-time, permanent | Competitive salary and equity | Reports to: a co-founder About LightWork AI LightWork AI builds Felicity, the AI front desk for UK letting and estate agents. She answers every call, email and message 24/7, qualifies leads and takes viewing requests, triages maintenance, and handles around 90% of that work on her own. We are live and generating revenue with agencies across the UK. Roughly half of those enquiries arrive out of hours, when the branch is shut and the lead goes to whoever answers first. Felicity answers in under 20 seconds. The Role We are hiring one technically trained owner for every customer after the sale. You get each agency live, prove Felicity's value in the agency's own numbers, and turn what customers run into into fixes that product and engineering can ship. Most of the risk with our customers is technical: an agency that isn't fully connected, or a Felicity that has handled nothing in 14 days, needs someone who can open the logs and fix the cause, not just report it. A trial that ends without the agency paying is a lost customer. You start as an individual contributor with no direct reports and a weekly one-to-one with your co-founder manager. Sales (one lead for independent agencies, one for groups) closes the deal and owns pricing. You take it from signed agreement to first live enquiry, then keep the account. You are organised, calm with a frustrated agency owner, clear with people who aren't technical, and you ask for feedback and use it. What Good Looks Like • Month 1: you know every live account, how each one is connected and how Felicity is performing for it, and you have taken a newly signed agency towards go-live from a written handover. • Month 3: the per-branch report and at-risk alert you built in your first 60 days are trusted at the weekly review, and no trial starts without the success criteria, go-live date and price you signed off. • Month 6: branch retention and trial to paid are rising, time to go-live is falling, and anything fixed twice has become a template, a tool or a product change. Key Responsibilities When these compete for your week, this is the order. Accounts at Risk • Score every account's health every week from Felicity's own data: enquiries handled, viewing requests passed to the branch, staff picking up her handoffs, and errors. • Call at-risk accounts the same week. • Give every lost account a reason backed by the record, not a guess. Go-Live • Own each agency from signed agreement to Felicity's first live enquiry. • Join the last sales call and get a written handover: how each branch handles enquiries today, why they bought, and what was promised. LightWork AI | Product Success Lead | 1 of 3 • Connect the channels and property software (such as Alto, Street, MRI and Loop), set Felicity up the way each branch already works, and train staff on her handoffs. Trial Entry • No trial starts until the agency has agreed in writing what "working" means, the go-live date and the price afterwards. You sign that off. • Flag a poor technical fit before a deal closes. Proof of Value • Build the evidence behind each account's reviews in the agency's own numbers: enquiries caught out of hours, viewing requests from them, response times, and what that is worth in fees. • Draw every number from the logs, with each one defined. The Fix, Not Just the Ticket • Change configuration yourself, within what Felicity supports, and never write custom code into a customer's account. • Send bugs to engineering with the affected customers attached. • Rank the jobs Felicity can't yet finish by how many customers need each one, and review that list with product and engineering monthly. • Make go-lives cheaper: anything fixed twice becomes a template, a tool or a product change. Groups and Growth • Roll groups out a trial branch first, with a named champion who trains the next wave's champions; each wave starts when the last meets the agreed criteria. • Spot growth inside accounts (more branches, more channels, usage near the plan's allowance) and pass it to sales or customer success within a week. You don't set prices. • Work with the customer success team so every account has one named owner. How You're Measured Four numbers at the weekly company review, independents and groups shown separately. In your first 60 days you turn our per-branch data into a report and an alert you trust. • Branch retention (up): the share of branches paying at the start of the month that are still paying at the end. • Trial to paid (up): the share of trials ended that month that converted to a paid invoice within the trial window. • Live in 14 days (up): the share of live branches where Felicity has handled an enquiry in the last 14 days. • Time to go-live (down): median days from signed agreement to Felicity's first live enquiry. Requirements Must Have • You've shipped technical work that paying customers rely on: integrations, configuration, scripts, or AI and automation workflows. You can walk us through one, including what broke. • You've owned a customer number, such as retention, conversion or adoption. You can say where it started, what you changed, and where it ended. Also Great • Three or more years in forward-deployed, solutions or implementation engineering, technical account management or technical customer success. • A technical degree. Shipped work counts equally. LightWork AI | Product Success Lead | 2 of 3 • You already know property or property software. If you know AI but not lettings, we teach you: two weeks inside live branches with the customer success team, then go-lives alongside them before you lead one. Why Join LightWork AI • Join a small, AI-first team with a product UK agencies already use and pay for. • Own every customer after the sale, measured on four numbers that show the difference you make. • The templates and tools you build become product. • Work closely with the founders, with a weekly one-to-one with your co-founder manager. • Competitive salary plus equity; any variable pay is tied only to the four measures. • Hybrid working: 4 days a week with the team in our London office, 1 day working from home, plus agents' offices for go-lives. LightWork AI | Product Success Lead | 3 of 3

Senior Software Architect – Cloud-Native Platforms Gothenburg, Sweden – Onsite Up to 670 SEK per hour Contract until December 2027 We’re looking for an experienced Senior Software Architect to drive architectural strategy and technical excellence across enterprise cloud-native platforms. You’ll shape architectural frameworks, define technical standards and guide engineering teams in delivering secure, scalable and resilient digital solutions. Key Requirements: 8+ years’ experience in software engineering or solution architecture. Strong AWS and cloud-native architecture experience. Expertise in distributed systems, microservices, serverless and event-driven architectures. Strong knowledge of APIs, integration patterns and Domain-Driven Design (DDD). Hands-on experience with IaC tools such as Terraform, AWS CDK or CloudFormation. Understanding of DevSecOps, cloud security, governance and observability. Excellent stakeholder communication and architectural leadership skills. Experience with Platform Engineering, Internal Developer Platforms and large-scale enterprise transformations would be highly advantageous.

IT Support Specialist (On-site) About the Assignment On-site IT support on the manufacturing shop floor: handling a multitude of IT-related questions from production, participating in projects, designing and implementing solutions, exchanging hardware, and communicating and understanding the operational needs of production. The role requires native Swedish for on-site delivery and includes participating in 24/7 on-call rotations, working in close cooperation with on-site maintenance and project organizations to secure reliable production IT services. We are looking for a self-driven, proactive professional with deep knowledge of manufacturing processes and tools. Key Responsibilities • Support & Maintenance: Providing support, conducting pre-checks, and performing preventive maintenance according to service-level agreements. Managing incident, problem, knowledge, and change management processes. Executing operational changes and maintenance for infrastructure technical services and components in production environments. • Runtime Support & Troubleshooting: o Hands-on hardware support (troubleshooting, analysis, and replacement): standard and non-standard clients, network patching, and industrial IT equipment (hand scanners, industrial printers, switches, access points, Ethernet cabling, connected nut runners, and industrial applications). o End-to-end responsibility for incoming cases: driving resolution, participating in problem management, and conducting Root Cause Analysis (RCA). o Collaborating with remote support teams on printers, networks, servers, conference rooms, telephony, and infrastructure components. • Lifecycle & Asset Management: Hardware lifecycle management for factory clients (planning, deployment, installation, retirement, and recycling). Purchasing IT equipment via enterprise procurement tools (e.g., Ariba). • Security & Quality: Acting as Local Security Coordinator for IT security. Driving continuous quality improvements, participating in regular huddles/reviews, and enforcing standard equipment usage. • Projects & Initiatives: Taking part in the implementation of new systems, solutions, and one-time IT projects. Required Skills & Competencies • Core Technical Knowledge: o Solid networking knowledge (switches, access points, cabling, IP telephony, etc.). o Print infrastructure knowledge. o Client operating systems knowledge (Windows/Linux/Unix environments). o Hands-on technical knowledge across computer hardware, industrial equipment, and enterprise applications. • Professional Attributes: o Service-minded, solution-oriented, responsible, and self-leading. o Excellent communication and stakeholder management skills. • Language Requirements: o Native Swedish (written and spoken) is strictly required for on-site delivery and communication with factory staff. o Good proficiency in English (written and spoken). Must-Have Skills Summary: • On-Site Plant IT Support: Hands-on experience supporting IT infrastructure on a manufacturing shop floor (industrial printers, scanners, network switches, cabling, and client hardware). • Infrastructure & Network Knowledge: Strong background in networking, client management, print services, and troubleshooting enterprise IT components. • Service Management: Experience handling incident, problem (RCA), change, and asset lifecycle management in an operational environment. • Languages: Native Swedish (mandatory) and professional working proficiency in English. • Availability: Willingness to participate in 24/7 on-call rotations and work primarily on site.