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„Seriös Group“ yra duomenų ir analitikos konsultacijų įmonė, padedanti organizacijoms sujungti išskaidytus duomenis, sustiprinti duomenų valdymą ir paversti informaciją praktinėmis verslo įžvalgomis. Įmonės veikla apima duomenų inžineriją, duomenų strategiją ir duomenų architektūrą, o ją papildo dirbtiniu intelektu grindžiamos platformos „Seriös ONE“ ir „Launchpad“. Įmonė derina nuo technologijų nepriklausomas konsultacijas su individualiai pritaikytais ir partnerystės pagrindu teikiamų paslaugų modeliais, aptarnaudama stambių įmonių klientus finansinių paslaugų, lošimų, pastatytos aplinkos, mažmeninės prekybos ir svetingumo sektoriuose.
Graduate Data Solutions Engineer at Seriös Group (Hybrid)
Join Seriös Group’s graduate pathway to develop data engineering, analytics and testing solutions for client projects. Build practical experience with cloud platforms, SQL, Python and Seriös ONE.
Aprašymas
- Develop practical skills in data engineering, analytics and data testing
- Use Seriös ONE, the AI-enabled, metadata-driven Data & AI Operating System
- Support client projects involving the design, development, testing and understanding of trusted data solutions
- Prepare and analyse datasets
- Create data models, build warehouse tables and develop data pipelines
- Use cloud data services such as Azure, AWS and Databricks
- Apply SQL and Python in data solutions work
- Support analysis and produce reports and dashboards
- Spot patterns and trends and explain findings to stakeholders
- Contribute to test plans and create test cases
- Produce clear defect reports and perform structured testing
- Learn how automated tests integrate with delivery pipelines
- Join requirements discussions and work collaboratively with colleagues and clients
- Document work clearly while balancing quality, value, effort, cost and delivery timescales
- Move from initial training and development into delivery on live client projects
Reikalavimai
- A degree, equivalent qualification or demonstrable learning in data, computer science, software engineering, mathematics, statistics or a related field
- At least a 2:1 degree classification
- Basic knowledge of databases, data pipelines, APIs, cloud platforms, data warehousing, analytics or software testing
- Practical SQL experience and exposure to at least one programming or scripting language, such as Python or R, through study, personal projects, a placement or employment
- A clear interest in developing across data engineering, data insights and data testing
- Curiosity, problem-solving ability and motivation to build a career in data solutions
- Experience through a placement, internship, graduate project, bootcamp or personal portfolio in data, analytics, software development or testing is helpful but not required
- Familiarity with tools or platforms such as Microsoft Fabric, Azure, AWS, GCP, Databricks, Snowflake, Power BI, Tableau, Qlik, Jira, Azure DevOps, version control, CI/CD, containers or Infrastructure as Code is advantageous
Privalumai
- Practical graduate experience working on real client projects
- Support and mentoring from experienced colleagues
- Skill development across data engineering, data insights and data testing
- Experience with modern cloud data platforms, tools and delivery practices
- Opportunities to use the Seriös ONE Data & AI Operating System
- A collaborative, supportive and innovative team environment
- Flexible scheduling with hybrid working
- Unlimited annual leave
- Private medical insurance
- Health cash plan
- Income protection
- Salary sacrifice pension
- Enhanced family-friendly policies
- Company sick pay
- Additional benefits listed on the dedicated careers site
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