Junior Data Engineer

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Cannock, UK

Job Type

Full Time

About the Role

TES Data Engineers build and maintain data systems. They construct datasets that are easy to analyze and support company requirements through developing and maintaining infrastructures for data generation

Data lake Management

Construct, test, and maintain AWS-based data pipeline architectures.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
Optimize data ingestion pipelines from data sources to the data lake and data lake to ongoing projects.
Ensure up-to-date ingestion and streaming of raw data from disparate data sources into a central data lake.
Keeping the data in the data lake functional, relative to business requirements and software developer updates.
Data Provision

Work with stakeholders including the Data Analytics team and other business units in ongoing projects to address technical issues and supplement data infrastructure needs.
Create data tools for data analytics and scientist teams that assist in building and optimizing our products efficiently.
Work with data and analytics experts to strive for greater functionality in data systems.
Qualities

Proficient in working SQL and Python/Java programming language.
Adept in handling large and unstructured datasets.
Experience or exposure to Amazon Web Services and its suite of ‘big data’ technologies. * Possesses an analytical mind and hunger for problem-solving
Meticulous in handling data and attention to detail in analysis.
Creativity in reinventing and optimizing data pipeline processes.
Strong command in communication skills on both verbal and written spectrums.
Enthusiastic, initiative and motivated in personal development through passive experience and active participation in learning and education opportunities
Academic Specialization

Business Analytics Data Analytics Information Systems Computer Science Mathematics Statistics ~quantitative fields

Experience

Entry Level Python & SQL Relational Databases Query Authoring DBMS

Exposure

Amazon Web Services Data Lake & Central Repositories Data Modelling

Reference ID: Junior Data Engineer

Job Types: Full-time, Permanent

Benefits:

Company pension
Employee discount
Life insurance
On-site parking
Schedule:

8 hour shift
Ability to commute/relocate:

Cannock WS11: reliably commute or plan to relocate before starting work (preferred)
Experience:

Data analytics: 3 years (required)

Requirements

  • Construct, test, and maintain AWS-based data pipeline architectures.

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

  • Optimize data ingestion pipelines from data sources to the data lake and data lake to ongoing projects.

  • Ensure up-to-date ingestion and streaming of raw data from disparate data sources into a central data lake.

  • Keeping the data in the data lake functional, relative to business requirements and software developer updates.

About the Company

TES is the go-to partner for economic IT sustainable solutions, with over 40 facilities across 20 countries offering unmatched services and consistency. We are committed to developing and supporting lasting enterprise, knowing our partners and the work they do whilst sustaining a better tomorrow.

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