Data Engineer
Industry
Reference
SM/DATAENGINEER_1718807562
Salary
£35000 - £40000 per annum
Job Type
Permanent
Job Location
Tyne and Wear, Washington
Description
Are you an experienced Data Engineer, looking for a new and exciting challenge?
Baltic Recruitment are currently recruiting for a Permanent Data Engineer, for a client located in Washington. The Data Engineer will provide vital assistance to the Senior Business and Data Analyst, as part of the overall digital transformation and data analysis team within the business.
Data Engineer Duties & Responsibilities:
- Supporting in the business wide digital transformation process
- Develop and maintain Microsoft Azure infrastructure in line with business needs
- Assist in mapping the data requirements from source to useable output
- Automate data reporting processes
- Ensure the agreed project management methods, standards and processes are maintained throughout the project lifecycle
- Assist the Senior Business & Data Analyst in the production and maintenance of project plans
- Adapt to learn requirements from different departments and to collaborate with business stakeholders on various levels
- Working with different data sources
- Analyse complex business problems and to provide valuable solutions
- Complete all necessary documentation in accordance with current requirements to ensure traceability
- Develop and maintain the project documents, electronic filing, recording and reporting systems
- Develop and support effective communication mechanisms within the project team
- Undertake any other administrative tasks as specified by the Senior Business and Data Analyst
- Take care of your own health and safety and that of others who may be affected by your actions at work
- Wear appropriate Personal Protective Equipment (PPE) in accordance with local rules
- Support GK (Gemba Kanri), 5S and other improvement activities across the division
- Undertake ongoing training to ensure the department stays proactive within the business
- Data reporting using appropriate presentation methods
- Work hand in hand with all the areas to ensure minimum impact of project work and the seamless introduction of new initiatives
- Any other duties as covered by your contract of employment
Data Engineer Applicants:
Essential:
- Microsoft Azure Stack (specifically Data Factory, Data Lake, Databricks)
- Python (Pandas, NumPy)
- SQL
- Microsoft Power Platform
- Knowledge and experience of a formal project management methodology
- A high degree of computer literacy
- Project planning ability
- Ability to adapt to learn requirements from different departments and to collaborate with
- business stakeholders on various levels
- Experience working with different data sources
- Ability to analyse complex business problems and to provide valuable solution
- Developing Self
- Communicating
- Managing and Leading People
- Customer Focus
- Planning and Managing Work
- Analysis & Problem Solving
- Initiative & Decision Making
Desirable:
- Microsoft Power Platform
- Knowledge and experience of a formal project management methodology
- Project planning ability
- Ability to analyse and present information
- Knowledge of working within a warehouse environment
- Microsoft Certified (or working towards): Azure Data Fundamentals and/or Azure Data
- Engineer Associate
- A good understanding of the best practice project management techniques
The Package:
- £35,000 – £40,000 per annum depending on experience.
- Company pension scheme.
- 25 Days holiday.
- Additional benefits.
Working 39 hours per week, working Monday to Thursday 7.55am – 4.35pm and Friday 07.55am – 13.35pm Friday. This is a fully office-based role.
Candidates may also be interested in Data, Data Engineering, Data Engineer, Azure Data Fundamentals, Azure Data Engineer, Azure, SQL, Python, Microsoft Power Platform, Microsoft Azure Stack.
Job Reference:SM/DATAENGINEER_1718807562
Salary:£35000 - £40000 per annum
Salary per:Annum
Job Duration:
Baltic Recruitment Sector:Commercial_operations
Job Type: Permanent
Job Location: Tyne and Wear, Washington
Job Industry: IT
Job Skill: Azure, Azure Data Engineer, Azure Data Fundamentals, Data, Data Engineer, Data Engineering, Microsoft Azure Stack, Microsoft Power Platform, Python, SQL