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If you need support in completing the application or if you require a different format of this document, please get in touch with at or call TCS London Office number 02031552100 with the subject line: “Application Support Request” Role: Senior GCP APIGEE Engineer Job Type: Permanent Location: Bristol, Leeds, Halifax, Manchester, Edinburgh. Mode of Working: Hybrid (2 days WFO) Ready to utilize your experience as a Senior GCP APIGEE Engineer. Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. • Gain access to endless learning opportunities., • Lead a team and their technical growth., • Lead projects and inspire both colleagues and stakeholders. The Role: As a Senior GCP APIGEE Engineer you will be a part of our Public Cloud Platform and help achieve our mission to provide compliant and efficient Google Cloud Infra, product and DevOps with cross-disciplinary feature team curating scalable GCP Cloud Products as IaaC and building APIGEE/API and modernizing APIGEE gateway. Key responsibilities: • Hands-on development and management of Google Apigee API Management Platform., • Design, build, and deploy API proxies, policies, and configurations in Apigee., • Implement CI/CD pipelines for API lifecycle management using tools like Jenkins, GitHub Actions, or Harness., • Develop and maintain API security policies (OAuth, JWT, mTLS, rate limiting, threat protection)., • Automate Apigee deployments and configurations using Infrastructure as Code (IaC) principles., • Integrate Apigee with GCP services (Cloud Functions, Pub/Sub, BigQuery, etc.) for end-to-end solutions., • Build automated workflows and scripts for API operations using Python., • Manage API analytics, monitoring, and logging for performance and compliance., • Enforce GCP Organization Policies and API governance standards for secure and compliant API ecosystems., • Collaborate with DevOps teams to implement containerized Apigee components and manage deployments on Google Kubernetes Engine (GKE)., • Optimize API performance and scalability through caching, quota management, and traffic routing., • Support migration of legacy APIs into Apigee and standardize reusable templates for API development. Your Profile Key skills/knowledge/experience: • Strong hands-on experience with Google Apigee API Management., • Expertise in CI/CD pipelines and DevOps practices for API deployments., • Python scripting for automation and workflow orchestration., • Familiarity with Terraform / Terraform Cloud for IaC (good to have)., • Experience with Jenkins, GitHub, Harness for pipeline automation., • Knowledge of Google Kubernetes (GKE) and container orchestration., • Understanding of API security standards and policy-as-code (OPA/Sentinel)., • GCP Certified (preferably Apigee Certified API Engineer)., • Good to have: Experience with IDE platforms for API development (e.g., Backstage). Good to have: -Good communicator, -Collaborator and Leader with experience on working with multiple organizational stakeholders. Rewards & Benefits: TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon. Diversity, Inclusion and Wellbeing Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at if you would like to opt in. If you are an applicant who needs any adjustments to the application process or interview, please contact us at with the subject line: “Adjustment Request” or call TCS London Office 02031552100 / +44 204 520 2575 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process. Next Steps: Application Process: • Skill-Based discussion: This will be a level 1 interview with the project team, it can be via video or in-person. Details will be confirmed by your recruiter., • Managerial discussion: This discussion will focus on behavioural aspects and person-organisation fit., • HR Discussion: This will be with one of the members of the HR team and will cover your career journey, aspirations for growth, compensation and any other questions you may have. Beware of Fraudulent offers This is to notify you that TCS does not ask for any sort of payment or security deposit from candidates at any stage of the recruitment process. The firm never sends out job offers from free internet email services like Gmail, Yahoo Mail, and so on. TCS has not authorised any third-party company to collect money on their behalf. As a vigilant job seeker, beware of fraudulent recruitment activity and protect your interests! You can write to to report any fraudulent activity. Due to the high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion. Join us and do more of what matters. Apply online now.

STAFF ENGINEER LONDON OR MANCHESTER £80,000 - £110000 THE COMPANY This UK-based SaaS scale-up is on a mission to protect advertisers’ digital spend by detecting and blocking invalid or low-value clicks. Using machine learning and real-time behavioural analytics, they help agencies and large advertisers improve ROI and reduce waste—all while being cookieless and privacy-compliant. With £15M in Series A funding and integrations with major ad platforms, this is your chance to lead a high-impact engineering team in a fast-growing, data-driven environment. THE ROLE As a Staff Engineer, you’ll be a technical leader in the Platform Team, focusing on hands-on development, architecture, and mentorship. You’ll work with real ML datasets, Rubix data, and large-scale ad traffic analytics, building features for the Data Science team and launching new ML models. This role is not about people management—it’s about owning technical design, writing high-quality code, and driving innovation. Specifically, you can expect to be involved in the following: • Technical tasks: Improving real-time traffic tracking, deploying new ML models, and optimizing big data pipelines., • Collaboration: Working closely with Product, Data Science, and engineering teams to solve complex problems. SKILLS AND EXPERIENCE The successful Staff Engineer will have the following skills and experience: • 5+ years of Python engineering experience, with a focus on big data, ML, or adtech., • Deep hands-on expertise in Python and an understanding of JavaScript/TypeScript/React (even if you won’t write it daily)., • Experience with large-scale datasets, AWS (Redshift is a bonus), or other cloud platforms (GCP/Azure)., • Familiarity with ad platforms (Meta Marketing API, Google Ads API) is a huge plus., • A computer science/STEM degree is preferred, but strong self-taught candidates will be considered., • Thrives in fast-paced, high-autonomy environments—stable tenure and a proactive mindset are key., • Thrives in fast-paced, high-autonomy environments—stable tenure and a proactive mindset are key. BENEFITS The successful Staff Engineer will receive the following benefits: • £80,000–£110,000 salary (depending on location and experience), • Hybrid working policy: 2 days/week in-office (London/Manchester), • High-impact work: Shape the future of ad fraud detection and optimization., • Fast growth: Join a scale-up with a clear trajectory and work with cutting-edge ML and big data., • Twice-weekly production deployments: See your work make an immediate difference. HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

Principal Data Engineer Location: United Kingdom Our Client They are a global content solutions company, powered by technology and human expertise. They help organisations grow the value of their ideas, data, and content by enabling them to be understood - everywhere. With over 45 AI patents, industry-leading technology, and expert talent, they support more than 80 of the world’s top 100 brands. Their teams operate across 60+ locations worldwide, delivering solutions that accelerate time-to-market, deepen customer engagement, and unlock new global opportunities. Role Overview As Principal Data Engineer, you will be a senior technical leader responsible for shaping the architecture, scalability, and evolution of the enterprise data platform. This role goes far beyond delivery. You will define technical strategy, design scalable data systems, mentor senior engineers, and partner closely with product, engineering, analytics, and business leaders to transform strategic goals into robust, data-driven solutions. You will have significant autonomy to influence architectural decisions, introduce best practices, and create a lasting technical legacy across the global data ecosystem. Key Responsibilities • Lead the design and evolution of scalable, secure, and reliable data architectures supporting BI, analytics, and ML workloads., • Define and drive data engineering standards, architecture patterns, and best practices across teams., • Influence technical strategy across engineering, product, and analytics through clear communication and stakeholder collaboration., • Anticipate future data needs, balancing long-term vision with pragmatic delivery., • Own reliability, performance, and observability of critical data systems, including SLO definition and operational resilience., • Mentor and develop senior data engineers through architecture reviews, technical coaching, and knowledge sharing., • Champion data quality, governance, monitoring, incident response, and cost optimisation., • Evaluate emerging tools and technologies, guiding adoption where they deliver genuine business value. Skills & Experience • Extensive experience designing and operating large-scale, cloud-based data platforms., • Deep expertise in data engineering fundamentals: data modelling, pipeline orchestration, distributed systems, and performance optimisation., • Strong architectural judgement, balancing technical excellence with business outcomes., • Proven leadership and influence across cross-functional teams., • Demonstrated success mentoring senior engineers and scaling team effectiveness., • Exceptional communication skills, including technical writing, documentation, and executive presentations., • Strong business acumen with the ability to connect technical decisions to measurable ROI. Desirable Experience • Hands-on experience with Google Cloud Platform (Big Query, Data form, Cloud Composer)., • Metadata management and data cataloguing (e.g., DataHub, Alation)., • Modern orchestration platforms (Airflow, Prefect, Dagster)., • Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code., • Data mesh or decentralised data architecture implementations., • Model Context Protocol (MCP) for data assets., • Open-source contributions or active participation in the data engineering community.

ENGINEERING MANAGER LONDON OR MANCHESTER £80,000 - £110000 THE COMPANY This UK-based SaaS scale-up is on a mission to protect advertisers’ digital spend by detecting and blocking invalid or low-value clicks. Using machine learning and real-time behavioral analytics, they help agencies and large advertisers improve ROI and reduce waste—all while being cookieless and privacy-compliant. With £15M in Series A funding and integrations with major ad platforms, this is your chance to lead a high-impact engineering team in a fast-growing, data-driven environment. THE ROLE As an Engineering Manager, you’ll lead a team of 4 engineers while staying 50–60% hands-on with coding and architecture. You’ll own the technical direction of the Platform Team, working with real ML datasets, Rubix data, and large-scale ad traffic analytics. This role is about balancing leadership with deep technical contribution—you’ll review pull requests, write POCs, guide architectural decisions, and deploy to production twice a week. Specifically, you can expect to be involved in the following: • Technical tasks: Building features for the Data Science team, launching new ML models, and improving real-time traffic tracking., • Leadership tasks: Mentoring engineers, refining engineering processes, and collaborating with Product, Data Science, and the CPO to drive innovation. SKILLS AND EXPERIENCE The successful Engineering Manager will have the following skills and experience: • 5+ years of Python engineering experience, with a focus on big data, ML, or adtech., • Proven leadership experience managing 2+ engineers—this is not a pure management role; you must remain hands-on., • Strong full-stack fundamentals: Python (essential), JavaScript/TypeScript/React (understanding required, even if not writing it daily)., • Experience with large-scale datasets, AWS (Redshift is a bonus), or other cloud platforms (GCP/Azure)., • Familiarity with ad platforms (Meta Marketing API, Google Ads API) is a huge plus., • A computer science/STEM degree is preferred, but strong self-taught candidates will be considered., • Thrives in fast-paced, high-autonomy environments—stable tenure and a proactive mindset are key. BENEFITS The successful Engineering Manager will receive the following benefits: • £80,000–£110,000 salary (depending on location and experience), • Hybrid working policy: 2 days/week in-office (London/Manchester), • High-impact work: Shape the future of ad fraud detection and optimization., • Fast growth: Join a scale-up with a clear trajectory and work with cutting-edge ML and big data., • Twice-weekly production deployments: See your work make an immediate difference. HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

Marketing & Customer Analyst working on two main areas: marketing optimisation and customer analytics. Marketing optimisation analysis: analyse digital marketing campaigns across Google Ads, Meta, LinkedIn, DV360; build Power BI and Looker dashboards for campaign performance; combine data from Adobe

Experience in marketing analytics or performance analytics. Analytics: Google Analytics (GA4), Adobe Analytics. Job Title: Assistant Manager, Marketing Analytics.

A digital marketing agency in England is seeking a PPC Team Lead responsible for operational leadership and direction of the PPC Team. Candidates must have over 5 years of experience in PPC strategy, deep knowledge of Google Ads, Bing, and analytics, along with strong leadership and communication sk

A digital marketing agency in Leeds is looking for a Digital Marketing and PPC Executive to manage and optimize PPC campaigns for well-known clients. The ideal candidate will have 2+ years of agency experience focused on PPC, and knowledge of Google Ads and Analytics.

Familiarity with data analytics platforms and delivery would be a distinct advantage including experience working with data engineering, data analytics, data visualisation and data science teams using platforms such as Alation, Soda, Microsoft SQL Server, Google Cloud Platform, DBT, Snowflake Cloud

Job Title: Senior Data Engineer Location: Leeds, 2x per week Salary: Up to £80,000 per annum Why Apply? This is an exciting opportunity to work as a Senior Data Engineer delivering scalable, high quality data solutions for a leading client in the technology sector. This position offers professional growth, challenging projects, and access to cutting edge cloud data technologies. Senior Data Engineer Responsibilities: Design, develop, and optimise robust, scalable data pipelines and architectures to support business intelligence and analytics initiatives. Manage and maintain cloud-based data platforms (AWS, Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop, maintain, and enhance reporting and analytics capabilities through tools such as PowerBI, Tableau, or QuickSight. Apply best practices in data governance, data quality, and performance optimisation. Operate in an agile environment, contributing to technical discussions and problem-solving initiatives. Senior Data Engineer Requirements: Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow). Strong programming skills in Python, SQL, and Java for data engineering tasks. Experience designing reliable, maintainable, and high-performance data pipelines and architectures. Broad understanding of data warehousing, data lakes, and lakehouse architectures. Familiarity with business intelligence and data visualisation tools. Excellent analytical thinking, attention to detail, and problem-solving skills. Strong collaboration and communication skills, able to work with both technical and non-technical stakeholders. Comfortable with complexity, ambiguity, and working independently or as part of a team in a fast-paced environment. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. TPBN1_UKTJ

The Head of Marketing Analytics role leads the organisation's marketing data strategy, transforming customer and performance data into actionable insight that drives smarter decision-making, lead generation, and revenue growth. The role owns customer insight, segmentation, analytics, and data-led campaign activation, while leading a team and championing a strong data-driven culture across the business. Client Details Our client are a fast growing B2B services firm based in the Greater Leeds area. With a strong presence in the UK, and ambitions to continue to grow across Europe, they are heavily investing in their marketing & data team to create higher quality campaigns. Description Key responsibilities for the Head of Marketing Analytics role will include: Take ownership of the Marketing Data strategy - Define and deliver the marketing intelligence and insight roadmap, ensuring data underpins marketing and commercial decision-making at every level. Enhance and enrich customer data - Lead data enrichment, acquisition, and quality improvement initiatives to strengthen the depth, accuracy, and usability of the customer database. Lead customer insight and analytics - Analyse customer behaviour, feedback, and churn to inform acquisition, retention, and lifecycle optimisation strategies. Enable data-led campaign activation - Create and manage high-quality, compliant data lists for outbound marketing campaigns, and email activity to drive lead generation and conversion. Deliver performance reporting and ROI insight - Build and maintain dashboards and reporting frameworks that provide clear visibility of campaign effectiveness, segment performance, and market trends. Leading and developing a high-performing team - Manage, coach, and grow a team of analysts and insight specialists, ensuring timely delivery of actionable intelligence at scale. Partner across the organisation - Collaborate closely with marketing, sales, operations, customer, and technology teams to translate insight into executable strategies and measurable outcomes.Profile A successful Head of Marketing Analytics candidate will have the below experience: Approximately 5+ years' experience in data and analytics, including experience supporting lead generation or demand creation activity Proven leadership experience across marketing analytics, business intelligence, customer insight, and marketing operations A background in working for a fast-paced, high growth organisation. Previous experience in a PE-backed SME company would be advantageous. Strong SQL skills, with the ability to interrogate and manipulate complex datasets Hands-on experience with BI and visualisation tools such as Power BI or Google Data Studio Practical knowledge of CRM and marketing automation platforms, these may include Salesforce, Dynamics, HubSpot. Transferable CRM experience will be considered. Strong expertise in customer segmentation, campaign targeting, and CRM data management Demonstrated success designing and delivering data-led marketing campaigns that directly support telemarketing or inside sales teams Deep technical capability in analytics platforms, data modelling, statistical analysis, and insight generation A commercial approach, with a clear ability to link insight to revenue, ROI, and business outcomesJob Offer On offer for the successful applicant: A competitive salary up to £75,000 Hybrid Working An opportunity to develop a new role at an international level

A well-established, close-knit advertising agency is looking for a Marketing and PPC Specialist to join its growing team. This is a great opportunity for someone who enjoys working across multiple digital channels and wants exposure to a varied client portfolio, including automotive and retail brands, while learning from experienced specialists in a supportive environment. The Role of a Marketing and PPC Specialist You’ll be responsible for planning, managing and optimising paid digital campaigns across a range of platforms. Day-to-day responsibilities include: Planning, managing and optimising paid campaigns across Google Ads, Meta Ads Manager and other platforms Analysing performance using Google Analytics 4, Google Tag Manager and Looker Studio dashboards Conducting keyword research using tools such as Ahrefs, SEMrush and Google Keyword Planner Managing budgets independently with a focus on improving ROAS and CPA Carrying out A/B testing using tools like VWO, Optimizely or similar Managing paid social campaigns across Facebook, Instagram, LinkedIn and X (Twitter) Creating digital content assets (graphics, emails and imagery) where required Collaborating with clients and internal teams to deliver campaigns on time and within budget About You You’ll have hands-on experience in paid media or digital marketing and enjoy balancing creativity with data-driven decision-making. 2–5 years’ experience in paid media, PPC or digital marketing campaigns Google Ads Certification (Search, Display and Video) Meta Blueprint Certification Confident using GA4, Google Tag Manager and Looker Studio Proven ability to improve ROAS, CPA and cross-channel performance Strong creative, analytical and problem-solving skills Excellent organisational and communication skills Happy working full-time, office-based in Wakefield Nice to Have TikTok Ads or LinkedIn Ads certification Experience with B2B campaigns Knowledge of CMS platforms (WordPress or bespoke) and basic HTML/CSS Benefits Company pension scheme Free onsite parking Regular social events, incentives, food days and team outings Ongoing training and development A genuinely supportive culture that values and looks after its people Disclaimer At Venatu Recruitment Group, your right to privacy is important to us. By applying for this job, your information will be entered into our recruitment system. This will enable you to register for job alerts, apply for jobs and for us to help you find your next role. To read our full privacy policy please visit our website: (url removed)

A global technology company in Greater London is seeking a skilled professional for analyzing economic impacts and evaluating societal contributions.The role involves designing studies, employing econometric methodologies, and manipulating large datasets to derive insights.Applicants should hold a M

While your core expertise must lie in the Google stack, experience with other enterprise analytics platforms like Adobe Analytics, Contentsquare, or FullStory is highly desirable. Senior Google Analytics & Implementation Specialist. Senior Google Analytics & Implementation Specialist.

See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire. As a Data Analytics Sales Specialist, you will help us grow our Data Analytics business by building and expanding relationships with new and existing customers. Google is a g

In this role, you will grow the Data Analytics business by building relationships with customers. The ideal candidate has over 10 years of sales experience in the enterprise software or cloud space, with a solid understanding of data analytics technologies. A leading global technology company in the

A leading AI research lab in Greater London seeks a Senior Manager for Business Data & Analytics to lead a high-performing team.

As a Data Analytics Sales Specialist, you will help us grow our Data Analytics business by building and expanding relationships with new and existing customers. BigQuery, Looker, Dataproc, Pub/Sub), and with data analytics technology stack. Knowledge of trends, products, and solutions in cloud and D

As a Data Analytics Sales Specialist, you will help us grow our Data Analytics business by building and expanding relationships with new and existing customers. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire. Collaborate w

Lead and revitalize the GDM “Analytics Guild”, fostering a wider community for data scientists and analysts across GDM and Google to share best practices, new tools and critical learnings. The Core Analytics Team (CAT) is tasked with organising and modelling GDM’s data to guide operations and

A global technology company is looking for a Data Analytics Sales Specialist to grow its Data Analytics business by expanding relationships with customers. The ideal candidate will possess strong sales experience within the enterprise software or cloud sectors, showcasing proficiency in data analyti

While your core expertise must lie in the Google stack, experience with other enterprise analytics platforms like Adobe Analytics, Contentsquare, or FullStory is highly desirable. You will be the in‑house expert on Google's analytics stack: GA4, GTM and BigQuery, leading client delivery across imp

Lead and revitalise the GDM "Analytics Guild", fostering a wider community for data scientists and analysts across GDM and Google to share best practices, new tools, and critical learnings. The Core Analytics Team (CAT) is tasked with organising and modeling GDM’s data to guide operations and stra

A leading tech company in the United Kingdom seeks a Technical Program Manager to lead complex projects and facilitate collaboration across teams.The ideal candidate should possess strong problem-solving skills, have a Bachelor's degree in a related field, and two years of program management experie

This is an opportunity to impact key investment strategies and engage with senior leaders in a collaborative analytics environment.

As a Data Analytics Sales Specialist, you will help us grow our Data Analytics business by building and expanding relationships with new and existing customers. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Knowledge

A leading global technology firm is seeking a Data Analytics Sales Specialist to enhance their Data Analytics business.

A leading consultancy is seeking a Google Cloud Analytics Practice Lead to own and scale the analytics practice. Certifications in Google Cloud are preferred, reflecting the focus on cutting-edge analytics solutions. Ideal candidates will have over 10 years of consulting experience and hands-on expe