At a Glance
- Tasks: Join our team to develop data engineering pipelines for impactful public sector projects.
- Company: Daintta, a fast-growing, values-driven tech company focused on data solutions.
- Benefits: Enjoy 25 days leave, health insurance, training budget, and flexible working.
- Other info: Hybrid work model with opportunities for professional development and community engagement.
- Why this job: Make a difference in the UK while growing your skills in a dynamic environment.
- Qualifications: 3+ years in data engineering with strong client delivery experience.
The predicted salary is between 50000 - 65000 £ per year.
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.
- Modelling, structuring and storing data along with their data flows for uses including 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.
- 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, Python, Kafka, SQL, Airflow).
- You have experience in assessing the relevant data quality issues based on data sources & uses cases, and can integrate the relevant data quality checks into data pipelines.
- You have experience in designing schemas for data warehouses/data marts to support the relevant ingest and queries.
- You have 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 skills.
- You are security cleared or capable and willing to undergo security clearance.
- You have experience with using CI/CD tooling to analyse, build, test and deploy your pipelines.
- You have experience in database technologies including writing complex queries against their (relational and non-relational) data stores (e.g. Postgres, Hadoop, Elasticsearch, Graph databases), and designing the database schemas to support those queries.
- You have a good understanding of coding best practices and design patterns.
Location: Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required.
Benefits
- Time Off: 25 days annual leave, plus bank holidays; Up to 5 days annual training leave with a dedicated training budget; Up to 3 days annual volunteering leave.
- Health & Wellness: Comprehensive Private Health Insurance; Employee Assistance Programme - 24/7 support services; £2,000 Flex Cash Allowance, paid pro-rata over the year.
- Financial Benefits: 5% pension contribution; Discretionary company awards and bonuses, based on performance and company targets.
- Professional Development: Up to £1,000 annual training budget; 1 professional membership paid annually; Up to £200 of additional IT budget for new joiners.
- Perks: Free breakfast every Tuesday in the London office; Fortnightly drinks – in London; Regular social events, quizzes, and guest workshops.
Security Information: Due to clients’ requirements, all applications are strictly subject to security clearance requirements relevant to the role.
