51 to 58 of 58 Data Munging Jobs

Senior Data Engineer (Python AWS SQL) Manchester/WFH to £110k Are you a data technologist who enjoys taking ownership? You could be progressing your career in a senior, hands-on Data Engineer role at a technology start-up that is producing a software suite for legal firms that massively reduces para-legal workloads … have seen huge interest in the product and have a lot of greenfield development work to get stuck into. What's in it for you: As a Senior Data Engineer you will receive a competitive package: Salary to £110k 25 days holiday Pension Hybrid working (x3 days office in Manchester) Impactful role with excellent career progression opportunities as … the company scales Your role: As a Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data More ❯

insights and analytics consultancy to hire an Analytics Consultant to join their growing client delivery team. This is a great opportunity for someone with strong digital analytics and data storytelling experience who’s ready to take full ownership of client workstreams — combining technical rigour, commercial insight, and stakeholder engagement. You’ll play a key role in helping major … brands turn data into meaningful actions that drive personalisation and performance. THE ROLE AND RESPONSIBILITIES: Reporting & Insights Deliver regular digital performance reports with clear insights and recommendations. Build and maintain time-series dashboards across tools like Google Ads, Adobe Analytics, and Snowflake. Ensure reporting accuracy through data checks and campaign annotations. Personalisation & Experimentation Support A/… B and rules-based tests, defining hypotheses and success metrics. Translate insights into testable ideas and prioritise by commercial impact. Collaborate with stakeholders to launch and measure experiments. Data Quality & QA Run QA checks to maintain data integrity and consistency. Monitor key tracking systems, identify anomalies, and coordinate fixes. Client Delivery & Communication Act as the main More ❯

Senior Data Engineer (Python AWS SQL) Manchester/WFH to £110k Are you a data technologist who enjoys taking ownership? You could be progressing your career in a senior, hands-on Data Engineer role at a technology start-up that is producing a software suite for legal firms that massively reduces para-legal workloads … they have seen huge interest in the product and have a lot of greenfield development work to get stuck into. As a Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions … for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small but growing team based in More ❯

play a key role in helping learners and professionals build deep, practical ML capability. Day-to-day, you'll: ? Deliver engaging teaching sessions covering the full ML lifecycle — data prep, model training, evaluation, deployment and monitoring at scale. ? Explain the maths behind ML models (linear algebra, calculus, probability, stats) in an accessible, engaging way. ? Support learners throughout their … expected by Ofsted, ESFA and other awarding bodies. What we're looking for You'll need to bring: Strong industry experience in end-to-end ML projects — from data wrangling and model building to deployment and monitoring. Confident teaching ability — whether you've formally taught, mentored or coached technical teams. Mathematical depth — clear understanding of the theory behind … wellbeing support. Monthly team lunches and regular social events. Laptop & full virtual setup provided. Who you are You're a passionate technologist who: Has 2+ years' experience in Data Science, Machine Learning or a similar role Loves teaching and seeing learners develop Thrives in a collaborative, innovative environment Is eager to continuously learn and improve As an industry More ❯

Documentation Facilitate meetings and develop communications to allow knowledge transfer Logically deconstruct existing systems to understand synergies and opportunities Contribute to the development of corporate business sensing through data insights Measures of success Traceable, documented functional and non-functional business systems requirements End-users have clarity on Business Engagement processes and service provision Visible and relevant data … to a range of stakeholders in an engaging and informative manner Desirable experience and skills Experience of solution implementation, with the knowledge to challenge technical solutions Process and data ecosystem mapping, data wrangling and coding familiarity Business Intelligence and Data Governance knowledge About Us Lucy Group Ltd is the parent company of all Lucy More ❯

I'm lookout for a Senior Software Developer who enjoys wrangling geospatial data, shaping technical direction, and mentoring junior devs without making them cry (ideally). You’ll be helping design, build, and scale systems that literally protect people and businesses from chaos. You won’t need to wear a cape—but if you have one, that’s … fine too.You’ll also be a key part of aligning tech wizardry with real-world results, working with data scientists, product folks, and the occasional confused stakeholder who doesn’t understand how time zones work.Responsibilities: Lead the design and development of complex features and systems. Bonus points for building things that still work after three updates and one … on a whiteboard” to “live in production and surprisingly stable.” Mentor other engineers like a wise coding sensei (but with fewer riddles). Collaborate with product, operations, and data teams without resorting to interpretive dance. Refactor legacy code without crying. Or while crying—we don’t judge. Monitor systems like a hawk with a dashboard. Link engineering strategy More ❯

take full ownership of the companys CRM strategy and execution, building robust workflows, segmenting audiences, and ensuring that every touchpoint delivers meaningful engagement. Working closely with product, sales, data, and marketing teams, this role focuses on the operations and infrastructure of the CRM system, enabling the wider marketing function to deliver successful campaigns. The ideal candidate is highly … technical, comfortable with data, and able to optimise complex automation and lifecycle workflows. They will not be responsible for creating campaign content but will ensure that all CRM-driven communications are effectively designed, automated, and targeted to maximise results. Key responsibilities include: CRM strategy and execution: Own the end-to-end CRM roadmap, building campaigns and automations that … support the full customer lifecycle across B2B and B2C audiences. Data-driven optimisation: Use segmentation, customer insights, and testing to design effective user journeys, continuously improving campaign performance. CRM platform expertise: Manage and optimise marketing automation tools, primarily HubSpot, and leverage technical capabilities to improve workflows and reporting. Cross-functional collaboration: Partner with product, sales, customer success, and More ❯

full ownership of the company’s CRM strategy and execution, building robust workflows, segmenting audiences, and ensuring that every touchpoint delivers meaningful engagement. Working closely with product, sales, data, and marketing teams, this role focuses on the operations and infrastructure of the CRM system, enabling the wider marketing function to deliver successful campaigns. The ideal candidate is highly … technical, comfortable with data, and able to optimise complex automation and lifecycle workflows. They will not be responsible for creating campaign content but will ensure that all CRM-driven communications are effectively designed, automated, and targeted to maximise results. Key responsibilities include: CRM strategy and execution: Own the end-to-end CRM roadmap, building campaigns and automations that … support the full customer lifecycle across B2B and B2C audiences. Data-driven optimisation: Use segmentation, customer insights, and testing to design effective user journeys, continuously improving campaign performance. CRM platform expertise: Manage and optimise marketing automation tools, primarily HubSpot, and leverage technical capabilities to improve workflows and reporting. Cross-functional collaboration: Partner with product, sales, customer success, and More ❯