Data Engineer

Daintta are a rapidly growing, values-driven team of specialists who work with government clients across Cyber, Telecommunications and Data. We are seeking a talented and motivated Data Engineer to join our team and contribute to our mission of protecting the UK through data-driven insights and solutions. As a Data Engineer, you will work closely with our public sector clients and project teams to develop and implement data engineering pipelines to support data science and business/mission intelligence use cases. What’s in it for you? In addition to being rewarded fairly for your contribution to the business, you get to work in a dynamic organisation that is agile and responsive. A business that is growing fast and where you get to drive and shape the future. A place where you are respected by everyone and your voice is important. Somewhere where you can be innovative and creative. A place where you have the opportunity to learn about all aspects of business from marketing to sales, to delivery and business operations. Key Responsibilities Assessing your clients’ technical needs and understanding how their needs are different to wants and managing clients’ stakeholders relationship appropriately Identifying data sources, data extraction, transformation, and loading (ETL/ELT) concepts and methods Designing, evaluating, and implementing on-premise, cloud-based and hybrid data engineering solutions (including providing review and guidance on testing aspects related to data engineering, identification of risks and proposing and implementing their mitigations) Modelling, structuring and storing data along with their data flows for uses including — but not limited to — analytics, machine learning, data mining, compliance, business intelligence, sharing with applications and organisations Harvesting and ingesting structured and unstructured data in different formats and standards Integrating, consolidating and cleansing data Migrating and converting data Applying ethical principles in handling data Ensuring appropriate storage of data in line with relevant legislation Building in security, compliance, scalability, efficiency, reliability, fidelity, flexibility and portability Accurately delivering high quality work to agreed timelines and taking the initiative and knowing how to ‘jump straight in’ Supporting client engagements, including pitches and presentations Helping to support & grow Daintta by actively inputting into the company strategy and helping to shape our future Representing us and our core values: Transparent, fair and daring Skills/Knowledge You have 3+ years of degree level industry experience in data engineering, preferably in a consultancy or industry setting You have worked in client delivery across a range of projects, including data analysis, extraction, transformation, and loading, data intelligence, data security and proven experience in their technologies (e.g. Spark, cloud-based ETL services,…