Data Engineer at Barnett Waddingham

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

24 May, 26

Salary

0.0

Posted On

23 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL Server, Azure SQL, ETL Pipelines, Azure Data Factory, Data Querying, Data Models, Data Mining, Data Manipulation, Analytical Skills, Agile Environment, Visual Studio, SQL Server Data Tools, Azure Data Studio, Azure DevOps, Azure Pipelines, Git

Industry

Financial Services

Description

Data Engineer United Kingdom and 4 more Our IT Practice Area is a key part of our success, and our clients include many large household-name companies. We are looking for an early career Data Engineer who can hit the ground running in certain areas but who has the capacity and keenness to grow into all aspects of the role. As Barnett Waddingham has grown, data has become increasingly important to its success. The Data Team is responsible for maintaining managed access to well structured data as the size and complexity increases. These include all aspects of data solution development and operation – research, analysis, scripting/automation, testing, deployment, support, monitoring, and performance/cost management. A snapshot of your day: Build cloud data engineering solutions that support hybrid environments Work alongside different software teams to help deliver modern data systems Support data-scientists and analysts to help them implement data solutions Build relationships with client stakeholders to develop rapport and confidence We would love to hear from you if you have: 2- 3 years of relevant commercial experience Strong skills in SQL Server / Azure SQL Experience of building ETL Pipelines in Azure Data Factory or similar Good knowledge of data querying techniques Good Understanding of data models, data mining, and data manipulation techniques Great numerical and analytical skills Experience working with software developers and other highly technical peers in an agile environment Experience of Development environments and tools such as Visual Studio /SQL Server Data Tools/Azure Data Studio Experience of Azure DevOps, Azure pipelines, Git Knowledge of Analytics tools such as Tableau and PowerBI What's in it for you: Competitive discretionary annual bonus Generous pension scheme Core benefits for you including private medical cover, life assurance, group income protection and up to 30 days holiday per year with holiday trading A comprehensive range of voluntary benefits to suit you (and your family) including an electric car leasing scheme, tech scheme, cycle to work scheme, dental cover, healthcare cash plan, health assessments, critical illness cover, Sports Allowance - we pay up to 50% of your gym/sports membership (up to 50 pm), travel insurance, paid volunteering and a broad range of retailer discounts Happy to talk flexible working. Accessibility We are a Disability Confident Employer. If you require reasonable adjustments or want more information on accessibility .

Responsibilities

The role involves building cloud data engineering solutions supporting hybrid environments and collaborating with various software teams to deliver modern data systems. Responsibilities also include supporting data scientists and analysts with data solution implementation and building rapport with client stakeholders.