Data Pipeline Analyst

Reconomy reconomy.com Open · verified Oct 24, 2026

Hybrid Stratford-upon-Avon Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Reconomy. Stratford-upon-Avon · full-time.

Pay not stated Data Engineering salary

RoleData Engineering

SeniorityMid-level

LocationStratford-upon-Avon

WorkplaceHybrid

EmploymentFull-time

PostedSep 17, 2026 · 5w ago

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Build and refine Qlik Talend pipelines that transform customer product and transaction files for existing databases and Data Streams
Create reusable code for data checks and transformations, then automate checks before records reach the database
Use Java for more complex data manipulation and prevent inaccurate or poor-quality records from loading
Coordinate with data stewards and business teams to confirm customer needs, track pipeline progress and report data quality
Use GitHub to manage pipeline versions and maintain the required standards

What you bring

You have worked with ETL software and Microsoft tools, including Excel
You know SQL and have familiarity with Java, Qlik Talend and GitHub
You have a degree or substantial experience in a related field
You communicate clearly, pay close attention to detail and can work through analytical problems

Who this fits

This mid-level hybrid role is based in Stratford-upon-Avon. It suits someone who wants to build and maintain customer data pipelines, validate incoming files and work with both data stewards and business teams.

From the employer

As a Data Pipeline Analyst, you will be responsible for building and maintaining scalable data pipelines and ensuring data is easily accessible for performance evaluation and decision-making processes. You will work closely with data stewards, analysts, and other stakeholders to drive data-driven initiatives and optimise our data infrastructure. The purpose of this role is to create and maintain Qlik Talend pipelines to allow the smooth transition of this data into the database by manipulating the data and performing checks on it to ensure that the data is accurate.

The Valpak Data Insights (VDI) department and Reverse Logistics Group (RLG) regularly receive data files from their customers systems with regards to Product and transactional data. This data is transformed and loaded into the existing databases using an inhouse built application. VDI will be migrating to the Qlik Talend ETL software on the customer files to load data into both existing databases and the new Data Streams system. Generate and consistently improve Qlik Talend pipelines

Create and maintain pipelines for each customer’s data
Create a reusable toolkit of code for validation and transformations that can be used by other customers
Generate automated validation checks on the received data so that it can be handled more efficiently before loading into the database
Become an expert in using the Qlik Talend Studio software so that any data transformations requested by the business can be performed
Use Java to perform advanced manipulation of the data

Ensure standards are maintained

Make sure that data is handled correctly by Qlik Talend and that poor data is not loaded into the Database
Use GitHub to allow source control of the created pipelines

Liaise with Data Stewards to make sure that pipelines can process the data received from Customers

Liaise with business to understand customer requirements, and to keep the business informed of pipeline progress
Provide feedback to users about the quality of the customers data

Experience, skills