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Datalex
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  • Engineering Managers (Manchester)  

    - Greater Manchester
    Location:             Onsite/hybrid Team ModelTeam Model:     Embedded... Read More
    Location:             Onsite/hybrid Team ModelTeam Model:     Embedded within a single cross functional software development podReports to:         Senior Engineering ManagerDirect Reports: Software Engineers and QA/Automation EngineersThe RoleWe currently have a number of vacancies for the role of Engineering Manager.Lead an engineering team to deliver high-quality software predictably and sustainably. Provide day-to-day technical and people leadership, with direct visibility into individual performance, team health, and delivery flow. Champion modern engineering practices such as continuous delivery, test automation, observability, and improved development flow to drive sustainable change that strengthens quality, pace, and long-term engineering excellence.Key Responsibilities1) Team Leadership & HealthAccountable for ensuring the pod performs effectively and consistently delivers on its commitmentsSet clear goals, standards, and working agreements for the team; foster a culture of ownership, psychological safety, and continuous improvementAct as a visible role model for engineering excellence, demonstrating the standards, behaviours, and delivery discipline that define what “good” looks like across the teamEnsure effective core rituals (stand‑ups, planning, backlog refinement, demos, retros) to maintain tight delivery cadence and transparencyMonitor team capacity, flow efficiency, and impediments; actively remove blockers and escalate when necessary. Work proactively to ensure pod productivity is optimised by addressing issues and risks as they are identifiedCoach engineers on craft excellence (code quality, testing discipline, software performance, observability, security by design)2) People Management & PerformanceProvide regular 1:1s, feedback, career development plans, and growth opportunitiesOwn performance management end to end (objective setting, calibration, reviews, promotions. Where needed, put in place clear and supportive improvement steps to help individuals get back on trackHire and onboard engineers; build a diverse, inclusive teamMaintain direct line of sight into day to day contributions through embedded participation in delivery rituals, code reviews, incident postmortems, and technical discussions.3) Delivery & ExecutionOwn delivery commitments at the team level, ensuring alignment with roadmap and OKRsPartner with the stakeholders to provide accurate milestone updates and progress reporting to the stakeholdersCollaborate with stakeholders to identify and manage dependencies, risks, scope creep, unforeseen complexity, and escalations across teamsTrack and improve team flow metrics (lead time, deployment frequency, change failure rate, MTTR)Champion automation in CI/CD, test coverage, and release governance; reduce toil and bottlenecks4) Technical StewardshipCollaborate with Senior Engineer(s)/Architect(s) on system design, technical strategy, and debt retirementEncourage high standards in code review, documentation, security posture, and observabilityBalance short-term delivery with long-term maintainability; facilitate technical discovery spikes and design reviewsMaintain awareness of platform constraints, scalability, performance, and cost5) Cross-Functional Collaboration Partner with stakeholders on prioritisation, scope, and trade-offs; align delivery to business outcomesCommunicate plans, risks, and status to stakeholders; provide clear, no surprises updatesEssential Skills and ExperienceProven experience leading software engineering teams as EM/SDM (typically 3–5+ years).Background as a senior engineer or equivalent; capable of technical guidance without being the primary coder.Experience with agile delivery at scale, production operations, and modern DevOps practices.Strong track record in hiring, performance management, and coaching.About DatalexDatalex is a market leader in airline e-commerce solutions. Datalex's Stellex product suite, launched in 2024, gives airlines the tools they need to drive revenue and profit as digital retailers. Datalex has a strong track record working with some of the most innovative airline brands worldwide, such as Air China, Air Macau, Air Transat, Aer Lingus, easyJet, and Edelweiss. The Group is headquartered in Dublin, Ireland, and maintains offices across Europe, the Americas, and Asia. Learn more at SummaryLocation: Manchester, United KingdomType: Full TimeExperience: Experienced Read Less
  • Senior Software Engineer — Pricing AI (Manchester)  

    - Greater Manchester
    The RoleWe are seeking a talented Senior Software Engineer to help bui... Read More
    The RoleWe are seeking a talented Senior Software Engineer to help build and run the data services and platform behind Datalex's dynamic pricing and offer optimisation. This is a Python-first, backend and infrastructure-focused role: you will work on end-to-end solutions — from robust application code and data pipelines through to APIs, infrastructure-as-code, and production monitoring.You will design and maintain the services that turn large volumes of pricing and offer data into fast, reliable, production-grade functionality, and you will help integrate machine learning and optimisation models into that pipeline. The role blends software engineering excellence, strong AWS and data-engineering skills, and a pragmatic eye for automation.Experience in the travel, airline retailing, or e-commerce industry would be a distinct advantage.ResponsibilitiesDesign, implement, and maintain Python services within our pricing platform, including data-processing logic and the integration of ML/optimisation models. Write clean, efficient, well-tested code for backend logic and data services.Build and optimise data pipelines on AWS to collect, transform, and serve large datasets. Work extensively with S3 (Hive-partitioned Parquet data lake), Athena for SQL querying and analysis, DynamoDB for low-latency caching, and Kinesis/SQS for streaming and queue-based integration — including customer-facing "bring your own stream" pipelines.Develop robust RESTful APIs and services (FastAPI) that expose pricing and data functionality. Ensure they are secure, well-documented, and performant at scale.Write and maintain comprehensive tests using PyTest. Ensure new features have proper coverage and meet quality standards before deployment.Own infrastructure as code using Terraform. Containerise applications with Docker and work across our CI/CD tooling — Bitbucket Pipelines and Jenkins — to automate build, test, and deployment.Deploy services into production and keep them healthy. Build observability with Datadog and CloudWatch, investigate data-quality issues (typically via Athena), and diagnose infrastructure problems using CloudTrail/CloudWatch.Work closely with data scientists to productionise pricing and optimisation models, and implement monitoring to track model performance, accuracy, and reliability post-deployment.Contribute to architectural decisions — for example, weighing in-process logic against extracted microservices — and proactively suggest improvements to systems and processes.Provide technical guidance and mentorship to junior engineers.Essential Skills & ExperienceBachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).At least 8 years' experience as a Software Engineer on large, production software applications.Strong Python engineering skills, including dependency and environment management with Poetry.Hands-on experience with AWS, particularly S3, Athena, DynamoDB, Kinesis, SQS, ECS, and CloudWatch.Experience building RESTful APIs and services with FastAPI.Hands-on experience with Infrastructure as code with Terraform.Containerisation with Docker.Data-engineering fundamentals: working with Parquet, Hive-partitioned datasets, and SQL against large tables (Athena/Presto). Solid working knowledge of the PyData stack — pandas and NumPy for data manipulation, Jupyter for experimentation, matplotlib/Seaborn for visualisation — and experience troubleshooting data-quality issues.Testing discipline with PyTest and a commitment to meaningful coverage.Experience with observability tooling (Datadog).Knowledge of design patterns and software architecture.Strong problem-solving and analytical skills.Good presentation and teamwork skills.Comfortable working in both Agile and Waterfall methodologies.DesirableFamiliarity with ML/optimisation frameworks used to productionise pricing models.Git for version control, with Bitbucket for collaboration, and experience configuring CI/CD pipelines (Bitbucket Pipelines and/or Jenkins).Exposure to AWS security and networking services (e.g. WAF), and to cross-account S3 replication.Experience in travel, airline retailing, or e-commerce.About Datalex  Datalex is a market leader in airline e-commerce solutions. Datalex's Stellex product suite, launched in 2024, gives airlines the tools they need to drive revenue and profit as digital retailers. Datalex has a strong track record working with some of the most innovative airline brands worldwide, such as Air China, Air Macau, Air Transat, Aer Lingus, easyJet, and Edelweiss. The Group is headquartered in Dublin, Ireland, and maintains offices across Europe, the Americas, and Asia. Learn more at  SummaryLocation: Manchester, United KingdomType: Full TimeExperience: Experienced Read Less
  • Product Manager - Manchester  

    - Manchester
    Location:            Onsite / HybridProduct ManagerAs a Product Manage... Read More
    Location:            Onsite / HybridProduct ManagerAs a Product Manager you will work across various teams, building products iteratively to drive growth, whilesupporting our partners.  You will deliver products and features that are commercially sound, meet the needs ofour customers and are in-line with our product and company strategy.  You will lead with a commercial lens,being data focused and driving value for our customers, through activating existing product and enhancing ourproduct offering.  You will approach your role, colleagues and customers with a positive, adaptable mindset.People and stakeholder management at all levels of the organisation, effective communication, peoplemanagement skills, pragmatism and the ability to be influential will be key to this role.  Key Responsibilities• Gather and write product requirements based on product strategy, customer commitments and industry insights, assisted with AI where applicable.• Manage product budget, capacity and planning for your area, with support from our PMO.• Work closely with our partners and teams to focus on conversion optimisation and revenue generation for Datalex and our customers.• Manage, support and coach Product Owners with the backlog, writing and refining requirements as well as other product managers, ensuring dependencies are accounted for.• Work closely with the agile delivery teams to ensure an iterative approach and optimise the process as required to deliver valuable product, on time and on budget.• Take a pragmatic and commercial based approach ensuring the right things are prioritised and regularly report on product development progress.• Create and maintain product documentation that can be used by our customers and internal stakeholders to understand, in detail, our products and how to use them.• Train customers and colleagues on our products, support sales with the RFP process and be ‘the go-to’ person for your product areas.• Actively participate in customer workshops, understanding their needs and identifying opportunities for Datalex.• Build strong, positive relationships with internal teams, including engineering, commercial and operations.• Monitor competitors and industry news and share insights across the product function and the organisation.Essential Skills & Experience• 5+ years in a Product Manager role with experience in a B2B / enterprise environment, using agile methodologies.• Airlines industry knowledge is a big advantage.• Experienced working with a broad range of disciplines i.e. Engineering, Finance, Sales and Strategy.• People management skills that drive autonomy, accountability and success with your team. • Proven track record of taking ownership and driving positive outcomes for customers and the product. • A combination of technical and business acumen with the ability to influence others through strong, clear communication, while showing an adaptable positive mindset.About DatalexDatalex is a market leader in airline e-commerce solutions. Datalex's Stellex product suite, launched in 2024, gives airlines the tools they need to drive revenue and profit as digital retailers. Datalex has a strong track record working with some of the most innovative airline brands worldwide, such as Air China, Air Macau, Air Transat, Aer Lingus, easyJet, and Edelweiss. The Group is headquartered in Dublin, Ireland, and maintains offices across Europe, the Americas, and Asia. Learn more at SummaryLocation: Manchester, United KingdomType: Full TimeExperience: Experienced Read Less
  • Engineering Managers (Manchester)  

    - Manchester
    Location:             Onsite/hybrid Team ModelTeam Model:     Embedded... Read More
    Location:             Onsite/hybrid Team ModelTeam Model:     Embedded within a single cross functional software development podReports to:         Senior Engineering ManagerDirect Reports: Software Engineers and QA/Automation EngineersThe RoleWe currently have a number of vacancies for the role of Engineering Manager.Lead an engineering team to deliver high-quality software predictably and sustainably. Provide day-to-day technical and people leadership, with direct visibility into individual performance, team health, and delivery flow. Champion modern engineering practices such as continuous delivery, test automation, observability, and improved development flow to drive sustainable change that strengthens quality, pace, and long-term engineering excellence.Key Responsibilities1) Team Leadership & HealthAccountable for ensuring the pod performs effectively and consistently delivers on its commitmentsSet clear goals, standards, and working agreements for the team; foster a culture of ownership, psychological safety, and continuous improvementAct as a visible role model for engineering excellence, demonstrating the standards, behaviours, and delivery discipline that define what “good” looks like across the teamEnsure effective core rituals (stand‑ups, planning, backlog refinement, demos, retros) to maintain tight delivery cadence and transparencyMonitor team capacity, flow efficiency, and impediments; actively remove blockers and escalate when necessary. Work proactively to ensure pod productivity is optimised by addressing issues and risks as they are identifiedCoach engineers on craft excellence (code quality, testing discipline, software performance, observability, security by design)2) People Management & PerformanceProvide regular 1:1s, feedback, career development plans, and growth opportunitiesOwn performance management end to end (objective setting, calibration, reviews, promotions. Where needed, put in place clear and supportive improvement steps to help individuals get back on trackHire and onboard engineers; build a diverse, inclusive teamMaintain direct line of sight into day to day contributions through embedded participation in delivery rituals, code reviews, incident postmortems, and technical discussions.3) Delivery & ExecutionOwn delivery commitments at the team level, ensuring alignment with roadmap and OKRsPartner with the stakeholders to provide accurate milestone updates and progress reporting to the stakeholdersCollaborate with stakeholders to identify and manage dependencies, risks, scope creep, unforeseen complexity, and escalations across teamsTrack and improve team flow metrics (lead time, deployment frequency, change failure rate, MTTR)Champion automation in CI/CD, test coverage, and release governance; reduce toil and bottlenecks4) Technical StewardshipCollaborate with Senior Engineer(s)/Architect(s) on system design, technical strategy, and debt retirementEncourage high standards in code review, documentation, security posture, and observabilityBalance short-term delivery with long-term maintainability; facilitate technical discovery spikes and design reviewsMaintain awareness of platform constraints, scalability, performance, and cost5) Cross-Functional Collaboration Partner with stakeholders on prioritisation, scope, and trade-offs; align delivery to business outcomesCommunicate plans, risks, and status to stakeholders; provide clear, no surprises updatesEssential Skills and ExperienceProven experience leading software engineering teams as EM/SDM (typically 3–5+ years).Background as a senior engineer or equivalent; capable of technical guidance without being the primary coder.Experience with agile delivery at scale, production operations, and modern DevOps practices.Strong track record in hiring, performance management, and coaching.About DatalexDatalex is a market leader in airline e-commerce solutions. Datalex's Stellex product suite, launched in 2024, gives airlines the tools they need to drive revenue and profit as digital retailers. Datalex has a strong track record working with some of the most innovative airline brands worldwide, such as Air China, Air Macau, Air Transat, Aer Lingus, easyJet, and Edelweiss. The Group is headquartered in Dublin, Ireland, and maintains offices across Europe, the Americas, and Asia. Learn more at SummaryLocation: Manchester, United KingdomType: Full TimeExperience: Experienced Read Less
  • The RoleWe are seeking a talented Senior Software Engineer to help bui... Read More
    The RoleWe are seeking a talented Senior Software Engineer to help build and run the data services and platform behind Datalex's dynamic pricing and offer optimisation. This is a Python-first, backend and infrastructure-focused role: you will work on end-to-end solutions — from robust application code and data pipelines through to APIs, infrastructure-as-code, and production monitoring.You will design and maintain the services that turn large volumes of pricing and offer data into fast, reliable, production-grade functionality, and you will help integrate machine learning and optimisation models into that pipeline. The role blends software engineering excellence, strong AWS and data-engineering skills, and a pragmatic eye for automation.Experience in the travel, airline retailing, or e-commerce industry would be a distinct advantage.ResponsibilitiesDesign, implement, and maintain Python services within our pricing platform, including data-processing logic and the integration of ML/optimisation models. Write clean, efficient, well-tested code for backend logic and data services.Build and optimise data pipelines on AWS to collect, transform, and serve large datasets. Work extensively with S3 (Hive-partitioned Parquet data lake), Athena for SQL querying and analysis, DynamoDB for low-latency caching, and Kinesis/SQS for streaming and queue-based integration — including customer-facing "bring your own stream" pipelines.Develop robust RESTful APIs and services (FastAPI) that expose pricing and data functionality. Ensure they are secure, well-documented, and performant at scale.Write and maintain comprehensive tests using PyTest. Ensure new features have proper coverage and meet quality standards before deployment.Own infrastructure as code using Terraform. Containerise applications with Docker and work across our CI/CD tooling — Bitbucket Pipelines and Jenkins — to automate build, test, and deployment.Deploy services into production and keep them healthy. Build observability with Datadog and CloudWatch, investigate data-quality issues (typically via Athena), and diagnose infrastructure problems using CloudTrail/CloudWatch.Work closely with data scientists to productionise pricing and optimisation models, and implement monitoring to track model performance, accuracy, and reliability post-deployment.Contribute to architectural decisions — for example, weighing in-process logic against extracted microservices — and proactively suggest improvements to systems and processes.Provide technical guidance and mentorship to junior engineers.Essential Skills & ExperienceBachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).At least 8 years' experience as a Software Engineer on large, production software applications.Strong Python engineering skills, including dependency and environment management with Poetry.Hands-on experience with AWS, particularly S3, Athena, DynamoDB, Kinesis, SQS, ECS, and CloudWatch.Experience building RESTful APIs and services with FastAPI.Hands-on experience with Infrastructure as code with Terraform.Containerisation with Docker.Data-engineering fundamentals: working with Parquet, Hive-partitioned datasets, and SQL against large tables (Athena/Presto). Solid working knowledge of the PyData stack — pandas and NumPy for data manipulation, Jupyter for experimentation, matplotlib/Seaborn for visualisation — and experience troubleshooting data-quality issues.Testing discipline with PyTest and a commitment to meaningful coverage.Experience with observability tooling (Datadog).Knowledge of design patterns and software architecture.Strong problem-solving and analytical skills.Good presentation and teamwork skills.Comfortable working in both Agile and Waterfall methodologies.DesirableFamiliarity with ML/optimisation frameworks used to productionise pricing models.Git for version control, with Bitbucket for collaboration, and experience configuring CI/CD pipelines (Bitbucket Pipelines and/or Jenkins).Exposure to AWS security and networking services (e.g. WAF), and to cross-account S3 replication.Experience in travel, airline retailing, or e-commerce.About Datalex  Datalex is a market leader in airline e-commerce solutions. Datalex's Stellex product suite, launched in 2024, gives airlines the tools they need to drive revenue and profit as digital retailers. Datalex has a strong track record working with some of the most innovative airline brands worldwide, such as Air China, Air Macau, Air Transat, Aer Lingus, easyJet, and Edelweiss. The Group is headquartered in Dublin, Ireland, and maintains offices across Europe, the Americas, and Asia. Learn more at  SummaryLocation: Manchester, United KingdomType: Full TimeExperience: Experienced Read Less

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