Data Engineer

TEKsystems
Dundee
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Description

We are looking for an experienced Syteline ERP resource with the following experience on Syteline Implementation projects in manufacturing or distribution industry. Resource will work under project manager with the business resources to co-ordinate activities in the following areas :

•Data Migration

•ERP Testing

Data Migration

Data Analysis and Planning:

oAnalyzing data requirements and understanding existing systems.

oCollaborating with stakeholders to define migration scope and objectives.

oDeveloping data migration strategy and plan.

Data Extraction and Transformation:

oWorking with IT to extract relevant data from legacy systems.

oWorking with IT to ensure data quality and consistency.

oTransforming data to fit the target structure.

Data Loading & Verification

oLoading data into new system when Data Enrichment is required

oVerifying data accuracy and completeness.

oResolving data-related issues during migration.

Documentation and Reporting:

oCreating documentation for migration processes.

oGenerating reports on data migration progress.

oMaintaining records of data mappings and transformations.

Collaboration and Communication:

oCoordinating with technical teams, business analysts, and end-users.

oCommunicating progress, challenges, and solutions to stakeholders.

Quality Assurance and Testing:

oIdentifying Data Verification Requirements

oConducting data verification tests in DEV and QA environments.

oEnsuring successful data migration without disrupting business operations.

ERP Testing

Role involves ensuring the successful testing and quality assurance of Syteline ERP software. Here are the key functions and responsibilities:

Test Planning and Execution:

oDevelop and execute test plans for new system.

oDrive progress on Functional Unit Testing and User Acceptance Testing.

Issue Identification and Solutions:

oCollaborate with testing team and IT technical resources to identify issues, troubleshoot and resolve / propose solutions.

Communication and Collaboration:

oWork closely with end-users to ensure user satisfaction during testing cycles.

Quality Assurance and Testing:

oValidate that the new ERP system meets business requirements.

oSupporting validation test / certification on validated systems.

oEnsuring successful data migration without disrupting business operations.

Skills

data analysis data loading data extraction data planning data transformation ERP ERP Testing uat user acceptance testing syteline

Job Title:Data Engineer

Location:Dundee, UK

Job Type:Contract

Trading as TEKsystems. Allegis Group Limited. Level 1, The Chase, Carmanhall Road, Sandyford, Dublin 18, Ireland. No. 909257. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.