Senior Data Engineer (Fabric-Platforms)

Proficiency in SQL and Python: You are highly proficient in SQL and Python, enabling you to handle complex data problems with ease.

Understanding of Data Lakehouse Architecture: You have a strong grasp of the principles and implementation of Data Lakehouse architecture.

Hands-On Experience with Spark-Based Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using PySpark or Spark SQL to manage and process large datasets.

Expertise in Building ETL and ELT Pipelines: You are skilled in building robust ETL and ELT pipelines, mostly in Azure, utilising Azure Data Factory and Spark-based solutions to ensure efficient data flow and transformation.

Efficiency in Query Writing: You can craft and optimise queries to be both cost-effective and high-performing, ensuring fast and reliable data retrieval.

Experience in Power BI Dashboard Development: You possess experience in creating insightful and interactive Power BI dashboards that drive business decisions.

Proficiency in Dimensional Modelling: You are adept at applying dimensional modelling techniques, creating efficient and effective data models tailored to business needs.

CI/CD Mindset: You naturally work within Continuous Integration and Continuous Deployment (CI/CD) environments, ensuring automated builds, deployments, and unit testing are integral parts of your development workflow.

Business Requirements Translation: You have a knack for understanding business requirements and translating them into precise technical specifications that guide data solutions.

Strong Communication Skills: Ability to effectively translate complex technical topics into clear, accessible language for non-technical audiences

Continuous Learning and Development: Commitment to continuous learning and professional development, staying up to date with the latest industry trends, tools, and technologies.

Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector-specific insight, and technical excellence to provide our customers an end-to-end data service.

We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process – but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers.

We are passionate about our people; we want out colleagues to develop the things they are good at and enjoy.

Autonomy to develop and grow your skills and experience

Be part of exciting project work that is making a difference in society

Strong, inspiring, and thought-provoking leadership

A supportive and collaborative environment

Development access to LinkedIn Learning, a management development programme and training

Wellness 24/7 Confidential employee assistance programme

Social - office parties, pizza Friday and commitment to charitable causes

Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year

Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation

Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution

Life Assurance of 4 times base salary

Private Medical Insurance which is non-contributory (spouse and dependants included)

Worldwide Travel Insurance which is non-contributory (spouse and dependants included)