Intuita

Role: Principal Data Engineer (DBT lean)Salary: £70,000 - up to £95,000 (dependant on experience)Contracting and Permanent hires considered ? Location: ALL locations considered: We have offices in Liverpool or Newbury office UK for Hybrid working and Sibenik (Croatia)Let us introduce ourselves We're Intuita, a new kind of data partner. We're a collective of data-driven people ready to cut through complexity to solve business problems in a human-centric and sustainable way. We provide pragmatic end-to-end services, products and technologies combined with straight-talking strategic direction to unlock the true value of data and drive transformational change. The role We are looking for a Principal Data Engineer ideally on a permanent contract basis, to join our talented Data Engineering team. In this key role, you will work closely with our Engineering Director to support the development of our high-performing team, applying your extensive engineering expertise to drive business growth and lead consultancy-driven projects. This position calls for a leader with a strong combination of hands-on technical excellence and exceptional leadership skills to steer our teams toward achieving both quality and strategic objectives. Ideally you will have managed a team of engineers with proven success.Key Responsibilities: Technical Leadership & Mentorship: Guide and mentor a team of engineers, providing technical direction, support and develop their skills to ensure the highest quality outcomes for our clients. Technical Project Ownership: Responsible for the technical direction and execution against critical business transformations, ensuring both sustainability and quality. Working closely with Business Analysts to ensure the technical solution meets 100% of the business needs. Client Engagement: Act as the technical liaison between the engineering teams and clients, ensuring client satisfaction through well thought out solutions with longevity in mind. Quality Assurance & Best Practice: Establish and enforce data engineering standards, best practice, reusable frameworks. Quality assurance management through data engineering pipelines, ensuring both quality and performance of solutions. Continuous Improvement: Stay up to date with the latest developments in technology changes within respective field/and or specialism, and proactively engage with wider engineering team on learning opportunities. On-Site Engagement: Periodically visit client sites to foster and strengthen relationships, ensuring our commitment to partnership and collaborative success is clearly demonstrated. A bit about youBeing a consultant at Intuita means something a little different to being a consultant elsewhere, we like to hire driven characters who share our passion and approach, bringing their style and flare. We see ourselves as trusted partners to our clients and believe in transparency, quality and integrity above all else, always pushing the boundaries to deliver the best outcomes for our clients. We also really value collaboration and teamwork, making sure we work together to solve problems and share learnings as a team.As a Lead role within our Data Engineering discipline, you'll share these values but also bring your own personality and approach to the role. We're looking for someone with the following experience and qualities, but if you don't fit these exactly and are interested in working for us, get in touch anyway - we hire people, not job specs.Extensive hands-on experience in a business transformation setting, either at enterprise level or in large-scale delivery.Proven success as a Team Leader, managing a team of Data Engineers on various projects Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration tools and CI/CD pipelines to enhance development efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency using tools such as Terraform to automate and manage cloud infrastructure, ensuring both consistency and scalability across environments Certifications in relevant technologies and methodologies, such as certified solutions architect or data engineer credentials from Microsoft Azure, GCP, AWS or Databricks. Ability to inspire, lead, and manage a diverse team of data engineers, fostering an environment that promotes professional growth and high performance.Experience working withing an Agile delivery team and effectively collaborating with cross functional teamsNice to Have: Prior experience in a consultancy setting, demonstrating the ability to navigate the unique challenges and dynamics of consulting with various clients and industries. Knowledge or specialisation in specific industries such as financial services, telecoms, ecommerce or retail, which can help tailor data solutions more effectively to client needs. Experience in building PowerBI semantic models for downstream visualisation consumption Knowledge and or experience in data management tools such as Azure Purview or Collibra, with exposure to data cataloguing, lineage, and data quality standards. A bit about youWe have a strong ethos of accountability, quality and integrity at Intuita, and like to hire people who believe in this too. We also really value collaboration and teamwork, working together to solve problems but always having fun along the way!

Role: Data Engineer (DBT lean) - Permanent hires consideredSalary: £45,000 - up to £69,000 (dependant on experience) - Consultant or Senior experience considered. For our Team lead requirements at Principal Consultant please see our job page and apply for the Data Engineering Lead role: ? Location: ALL locations considered: We have offices in Liverpool or Newbury office UK for Hybrid working and Sibenik (Croatia)Let us introduce ourselves We're Intuita, a new kind of data partner. We're a collective of data-driven people ready to cut through complexity to solve business problems in a human-centric and sustainable way. We provide pragmatic end-to-end services, products and technologies combined with straight-talking strategic direction to unlock the true value of data and drive transformational change. The roleWe are looking for a Data Engineer ideally on a permanent contract basis, to join our talented Data Engineering team. In this key role, you will work closely with our Engineering team in support of the development of our high-performing team, applying your engineering expertise to drive business growth and support consultancy-driven projects. This position calls for a strong combination of hands-on technical excellence and exceptional consultative skills to steer our teams toward achieving both quality and strategic objectives. Key Responsibilities: Technical Project Ownership: Responsible for the technical direction and execution within your remits and experience against critical business transformations, ensuring both sustainability and quality. Working closely with Business Analysts to ensure the technical solution meets 100% of the business needs. Client Engagement: Act as the technical liaison between the engineering teams and clients, ensuring client satisfaction through well thought out solutions with longevity in mind. Quality Assurance & Best Practice: Establish and enforce data engineering standards, best practice, reusable frameworks. Quality assurance management through data engineering pipelines, ensuring both quality and performance of solutions. Continuous Improvement: Stay up to date with the latest developments in technology changes within respective field/and or specialism, and proactively engage with wider engineering team on learning opportunities. On-Site Engagement: Periodically visit client sites to foster and strengthen relationships, ensuring our commitment to partnership and collaborative success is clearly demonstrated. A bit about youBeing a consultant at Intuita means something a little different to being a consultant elsewhere, we like to hire driven characters who share our passion and approach, bringing their style and flare. We see ourselves as trusted partners to our clients and believe in transparency, quality and integrity above all else, always pushing the boundaries to deliver the best outcomes for our clients. We also really value collaboration and teamwork, making sure we work together to solve problems and share learnings as a team.As a key role within our Data Engineering discipline, you'll share these values but also bring your own personality and approach to the role. We're looking for someone with the following experience and qualities, but if you don't fit these exactly and are interested in working for us, get in touch anyway - we hire people, not job specs.Hands-on experience in a business transformation setting, either at enterprise level or in large-scale delivery.Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologiesAnalytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration tools and CI/CD pipelines to enhance development efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency using tools such as Terraform to automate and manage cloud infrastructure, ensuring both consistency and scalability across environments Certifications in relevant technologies and methodologies, such as certified solutions architect or data engineer credentials from Microsoft Azure, GCP, AWS or Databricks. Ability to be a key team member of a diverse team of data engineers, fostering an environment that promotes professional growth and high performance through shared ideas and mentorship.Experience working withing an Agile delivery team and effectively collaborating with cross functional teamsNice to Have: Prior experience in a consultancy setting, demonstrating the ability to navigate the unique challenges and dynamics of consulting with various clients and industries. Knowledge or specialisation in specific industries such as financial services, telecoms, ecommerce or retail, which can help tailor data solutions more effectively to client needs. Experience in building PowerBI semantic models for downstream visualisation consumption Knowledge and or experience in data management tools such as Azure Purview or Collibra, with exposure to data cataloguing, lineage, and data quality standards.If you require any support with your application, please contact

? All our office locations considered: Newbury & Liverpool (UK); Šibenik, Croatia (considered) We're on the hunt for builders ?. No, we've not ventured into construction in our quest to conquer the world, rather a designer and builder of systems for all things data related where we are conquering the Data World. We can offer an interesting insight into projects spanning a variety of sectors, which may include industries such as telecoms, insurance, finance and mortgages. ? First and foremost we seek strong Consultants; so if you are ready to explore our dynamic team where you can truly act as an expert in your field in support of our clients and their challenges in the world of data and technology, read on! The Team We're Intuita - a fast growing consultancy that's making waves in both the consultancy and technology space. With our ambitious goals for 2025 and beyond, we are looking for talented individuals to complement the team of experts we already have working across our business, becoming a pivotal part of our journey, to not just meet, but continuously exceed our client expectations! The Role We are seeking a skilled Data Engineer(s) to join our team, ideally initially on a contract basis, however longer term there is potential to discuss longer term opportunities in the shape of a permanent consultant opportunity. We can move fast and adapt our selection period to our needs. With this in mind, immediate or quick availability is ideal, alongside permanent rights to work are essential, alongside other factors we'll consider.This is a typical Data Engineering role in that day to day you will be ingesting large data sets for our clients, which involves designing data pipelines, data integration and transforming data into models for downstream consumption. Key outputs for the role • Develop and maintain data pipelines using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams to understand data requirements and implement appropriate solutions. • Ensure data quality, integrity, and security throughout the data pipeline. • Troubleshoot and resolve any issues or errors in the data pipelines. • Stay updated with the latest Azure technologies and industry best practices to continuously enhance data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about YOU! As much as we just love working with great, fun people, there are some obvious required Skills and Experience we are going to be seeking out. For this role we'd be expecting to see: • Solid experience in Azure, specifically Azure Databricks and Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building metadata driven pipelines. • Knowledge of Azure Storage, Medallion Architecture, and working with data formats such as JSON, CSV, and Parquet. • Strong understanding of IT concepts, including security, IAM, Key Vault, and networking. • Exposure to Apache Airflow and DBT is a bonus. • Familiarity with agile principles and practices. • Experience with Azure DevOps pipelines. The "Nice to Haves": • Certification in Azure or related technologies. • Experience with other cloud platforms (e.g., AWS, Google Cloud). • Knowledge of big data technologies • Familiarity with data governance and compliance frameworks. Your characteristics as a Consultant will include: • Driven by delivering quality work, with a great eye for detail • Takes accountability and ownership of tasks, and finds the best way to solve problems • Excellent communicator who can make sense of and communicate complex ideas to audiences of differing levels of seniority and technical ability • Ability to quickly understand client context and demonstrate expertise in their business • Relationship builder, with the ability to motivate and engage effectively to build trust with clients and colleagues. • An interest in industry trends, emerging technologies, and client's businesses • Ability to take the lead and drive initiatives independently If you don't fit the above criteria exactly but are interested in working for us, get in touch anyway! - we hire people, not a job spec! ? What's in it for you? Salary : £40,000 - £68,000 per annum DOE ? (Really) flexible hybrid working Genuine care and support for your health and wellbeing Incredible training and learning opportunities ? Freedom and empowerment to own problems and explore new ideas A supportive, friendly team Dog friendly offices Our enhanced benefits package overview If you require any support, contact

We are a leading boutique data consultancy looking for an ambitious and experienced Senior Analytical Consultant to join our growing team. Flexible location (must be based in UK), with great benefits and opportunity to work on a wide range of exciting projects for some of Europe's best-known brands. We are quite unique and not your typical consultancy, in that we allow individuals to work in consultancy with the freedom to deliver results outside of rigorous processes. Our management team is passionate about enabling each team member to shape their working environment in the way that provides them with the most support/work life balance. We operate on the principle that engagement and happiness is the key to productivity. The Role We are looking for an experienced and driven analyst to join our growing consultancy, to lead analytical deliveries both in terms of thinking / approach and in a hands-on capacity. The successful candidate will bring comprehensive experience of various analytical techniques in a real-world environment. They will bring strong client relationship skills to the role, together with the ability to take ownership of analytical problems and work both independently and collaboratively to provide high-quality solutions. As a key player within an already experienced and talented analytics team, this individual is expected to provide clarity of thinking, analytical excellence, and exceptional quality to multiple deliveries. This role provides an exciting development path with exposure to all levels of our organisation and opportunities to experience all elements of the project lifecycle, from inception through to delivery. Key outputs for the role include Developing Approach and Plans : Detailed, thought-through analytical approaches to solving business problems and creating business opportunities. Detailed Analytical Outputs: Fit for purpose solutions to business problems such as models, logic, or datasets that can be easily translated into actionable insights Creating Analytics Presentations : High-quality presentations with a detailed and succinct demonstration of analytical findings to senior-level client stakeholders. Building Business Context : Drawing contextual conclusions and actions from analytics that are highly relevant and valuable to the end-client. The characteristics we are specifically looking for are Proactive, dynamic, and driven by delivering quality work, with a great eye for detail Energised by multi-client, multi-industry challenges Takes accountability and ownership of tasks, and finds a way to make it happen Ability to motivate self and other individuals within our and client teams An excellent communicator who can make sense of and communicate complex ideas Is not afraid to talk up and have an opinion in internal or client meetings Able to build expertise in the client's business fast, able to pre-empt needs and navigate client worlds A strategic and deep-critical thinker who is always looking for the best way to solve a problem A relationship builder, engaging effectively to build trust with clients and teammates Skills/experience required to fulfil the role Experience: Proven experience in delivering high-quality analytics in a hands-on capacity Experience working with customer value, commercial, and marketing data Experienced in a wide range of analytics tool and techniques Experience working with a wide range of business stakeholders across different departments Presentation of complex information to stakeholders Sound knowledge of data protection and GDPR Degree in a relevant field (e.g., Computer Science, Statistics, Mathematics, Economics or equivalent) Client-side experience is advantageous Agency-side experience or agency working model experience is advantageous Multi-industry expertise is advantageous Technical Skills: SQL (critical) Excel (critical) Python and R (highly desirable) Other analytical tools, Spark or similar (highly desirable) Knowledge of data warehousing, databases, and optimisation tools (desirable) Experience with other programming languages and technologies is advantageous Benefits Competitive salary (£45k-£68k depending on experience) Generous company and personal performance-linked bonus scheme BUPA Health Insurance 25 days holiday (plus bank holidays) Training courses/conferences supported Flexible working hours and opportunities to work from home About us: We are an ambitious, independent, and dynamic business that has an excellent track record developing talented individuals professionally and personally through mentorship, client-side experience, and industry exposure. Culture is a very important part of life here at Intuita, and something we are consistently looking to grow and improve. It is expected that the successful candidate will play an important role in helping to define and evolve this, bringing fresh perspectives to help ensure Intuita continues to be a fantastic place to work for all its staff. We are a diverse and inclusive, close knit team where everybody has a voice. There are always opportunities to get involved, learn new skills, apply new technologies and gain new perspectives. Employee wellbeing is important to us; therefore, we offer an environment that supports individuals including flexible working, mental health first aiders and readily available support through an external mental wellbeing provider. Once you have submitted your application we will be in touch. Please be aware that the timing can vary dependent on the volume of applications that we receive for each role and in some cases, we may start to review applications prior to the closing date.