Data Visualisation Developer £400 – £500 per day 3 month contract London/Remote At Data Idols, we are working with a data-led technology business building insight-driven products used in complex, information-rich environments. They are looking for a Data Visualisation Developer to transform complex data into clear, engaging, and high-quality visual outputs that improve how users understand and interact with information. The Opportunity This is a specialist role focused on one core thing, making data easy to understand and visually compelling. You will work across a variety of datasets, assessing how information is currently presented and redesigning it into visuals that are intuitive, insightful, and polished. This could mean using charts, graphs, or entirely bespoke visual approaches depending on the problem. The focus is not on tools, but on choosing the right way to present data and executing it to a high standard. Working closely with product, UX, and engineering teams, you will help shape how data is experienced across the platform. This role suits someone who is passionate about data visualisation as a craft and takes pride in producing work that is both analytically sound and visually strong. Skills and experience - Strong experience creating data visualisations across different tools or technologies - Ability to take complex data and turn it into clear, user-friendly outputs - Strong judgement on the best visual format for different types of data - Experience with visualisation tools - Experience working alongside product, UX, or engineering teams If you are looking for a new challenge and enjoy making data more accessible and impactful through visualisation, please submit your CV and portfolio for initial screening and further details. Data Visualisation Developer

• Design and maintain data pipelines and ETL/ELT workflows, including batch extraction, transformation, and loading into analytics-ready data stores • Build and operate event-driven, serverless data processing systems using AWS services such as S3, EventBridge, Lambda, and Athena • Develop Python-based data processing components for parsing and transforming data within Lambda environments • Write and optimize SQL queries for data validation and analysis using Athena • Create and maintain embedded analytics dashboards for customer-facing reporting using AWS QuickSight • Provision and manage data infrastructure using Terraform, ensuring consistent deployments across environments • Implement CI/CD pipelines and monitoring/alerting for reliable data platform operations • Extend and improve existing pipeline frameworks while working within legacy systems

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for a Middle Data Engineer specialized in Azure Databricks to join our data platform team. The candidate will design and develop modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data Factory, while integrating with existing SQL Server-based data warehouse environments, also evolving our data platform towards scalable, cloud-based data architectures, enabling advanced analytics and business intelligence. Key responsibilities: - Design, develop, and maintain data pipelines using Azure Databricks - Build and optimize data transformations using PySpark and SQL in Databricks - Implement and maintain Lakehouse architectures using Delta Lake - Develop ETL/ELT pipelines orchestrated through Azure Data Factory - Integrate data from multiple sources into the data platform and analytical layers - Design and maintain data models and data warehouse structures for analytics - Ensure data quality, scalability, and performance of large-scale data processing pipelines - Collaborate with BI teams to support Power BI and reporting platforms - Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required - Contribute to the design of modern cloud-based data architectures Qualifications - 3+ years of experience in Data Engineering or Data Warehouse development - Strong experience with Azure Databricks - Experience developing data pipelines using PySpark and Spark SQL - Solid understanding of distributed data processing and big data concepts - Experience working with Delta Lake and Lakehouse architectures - Strong SQL skills and experience with SQL Server relational databases - Experience building data pipelines using Azure Data Factory - Experience handling large datasets and performance optimization Nice to have - Experience with Spark optimization techniques (partitioning, caching, cluster tuning) - Experience with structured streaming in Databricks - Knowledge of CI/CD pipelines for data platforms (Azure Devops) - Familiarity with Power BI - Experience in migrating from traditional ETL process to cloud architectures Additional Information We offer: - Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. - Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. - Work From Anywhere Culture: make the most of the flexibility that comes with remote work. - Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. - Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. - Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. - Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

Role Description Direct travel is on a journey of data transformation, and we are seeking a skilled and motivated Data Analytics Engineer to join our team to be a pivotal part of our history. The ideal candidate will be crucial to the design, execution and delivery of a best-in-class global analytics platform, providing data insights and global reporting for both internal stakeholders and thousands of clients globally. A successful candidate will have hands-on experience crafting embedded analytics applications, possess a background in software engineering, and understand the latest methods and techniques in provisioning key visualizations and self-service capabilities within our data products. In the role of an Analytics Engineer, a qualified candidate will work across engineering and data-related assignments, contributing to the development of analytics products and using a data-driven mindset to solve business problems across the organization. Qualifications - Bachelor’s degree in information technology, Computer Science, Data Science, or a related field or equivalent experience. - Advanced knowledge of and experience with databases of all varieties including RDBMS SQL based platforms as well as document stores. - Demonstrable experience with a programming language typically used in the field of data and analytics engineering e.g. Python, R or Scala. - Experience and understanding of web application development, front-end reactive applications such as VueJS or React as well as familiarity with middle and back-end software development methodologies. - Understanding of the software development lifecycle and SCM through Git or an alternative. - Experience with cloud providers such as Amazon AWS, Azure or GCP and associated data platforms and products they provide. - Full understanding of the data lifecycle, from pipeline development to warehouse architecture to reporting and analytics enablement. - Senior level experience with more than one cloud-based analytics platform such as Looker, Tableau or PowerBI. - Experience developing semantic models across wide-reaching data in sustainable and performant ways. - Exposure and understanding to cloud-based warehouse platforms such as Snowflake, DataBricks or Azure DataLake. - Prior experience implementing governance and compliance related frameworks to analytics data products. - Inquisitive diagnostic skills related to query and system tuning and performance. - Experience building bespoke data products from the ground up that utilize analytics and business intelligence platforms in an integration manner for visuals and core functionality. - Strong verbal and written communication skills to effectively share findings with stakeholders. - Adept at queries, report writing, and presenting findings. Requirements - Proven working experience as a data analytics engineer. - Snowflake, Looker and LookML modeling experience. Benefits - Medical, Dental, and Vision benefits. - Total Rewards Package which includes Retirement Plans, Wellness, Rewards and Recognition, Sustainability, DE&I initiatives, and Mental Health Support. Company Description Direct Travel/ATPI is one of the fastest growing Travel Management Companies (TMC) in the world. By leveraging both the expertise of its people and innovative technology solutions, Direct Travel/ATPI enables clients to derive the greatest value from their travel program in terms of superior service, progressive technologies, and significant cost savings. Direct Travel/ATPI has offices globally and is currently ranked among the top providers on Travel Weekly’s Power List. Direct Travel/ATPI is an EOE/AA/Veteran/People with Disabilities employer. If you're ready to chart a new course and advance your career with the valuable moments and travel experiences that await, we welcome you to submit your resume for consideration at Direct Travel/ATPI.