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Who are we looking for?

You enjoy working on complex data problems whilst being able to suggest simple (yet effective) solutions. You are comfortable working with uncertainty and like to make things clearer. You're passionate about technology and keep up as it evolves. You focus on the future and thrive most when solving problems. Clients love working with you. You are honest and do things when you say you will, you also know how to explain things clearly and concisely. You can lead, educate, and inspire. You've got a exceptional experience background in novel data science, machine learning algorithms, data analytics, and data engineering along with their technologies. You're equally comfortable leading presentation and engagements with clients, providing leadership, advice, and building prototypes. You're a collaborator and enjoy stepping out of your role from time to time, whether it's to support your clients, colleagues or to learn something new.

What might you be doing?

• Leading client projects and providing subject matter expertise.
• Assessing your clients' business and technical needs with the ability to identify opportunities for data science and machine learning algorithms and techniques to be used and managing clients' stakeholders' relationship appropriately.
• Identifying data sources, data extraction, transformation, and loading (ETL) concepts and methods.
• Designing, evaluating, and implementing on-premise, cloud-based and hybrid novel data science and machine learning techniques and algorithms (including providing relevant review and guidance on testing aspects, 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 legislations and requirements.
• 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.

Sounds like something you'd enjoy? Here's a bit more about you:

• You have extensive degree level experience in data engineering and/or computer science.
• You have experience of working in a Consultancy, Software Products, or large Systems Integrator.
• You have exceptional demonstrable experience in leading client delivery across a range of projects, including developing novel machine learning algorithms and techniques, data science and analytics, extraction, transformation, and loading, data intelligence, data security and their technologies to deliver business benefits and solve real life challenges (e.g. one or more of the following technologies Python, Scala, Apache Spark, cloud-based ETL services, Apache Kafka, SQL, various ML algorithms and libraries).
• You have exceptional experience working on cloud-based infrastructure (e.g. AWS, Azure, GCP).
• You have demonstrable continuous personal development with relevant data certifications and accreditations.
• You have strong interpersonal and leadership skills.
• You have exceptional experience with using CI/CD tooling to analyse, build, test and deploy your code and proven experience in their technologies.
• You have exceptional experience in database technologies (e.g. SQL Server, Apache Hadoop, Elasticsearch, Graph databases).
• You have a extensive understanding of coding best practices and design patterns and experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation and alerting.
• You have UK security clearance at SC or above or are eligible and willing to go through clearance.

Location?

Hybrid, with 2-3 days working from Daintta office or on client site as required.

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.

Time to tell you about us!

We are Daintta. We provide deep expertise with technical and business specialists to help clients and organisations secure and protect the UK. In complex environments, we use innovative methods to solve the hardest data challenges to help organisations make more informed and accurate decisions, at scale and faster. We are agile, responsive, independent, and collaborative while our values of Fair, Transparent and Daring guide all our decision making.