Quick Summary
Purpose of position Data sits at the heart of the company. This role is to ensure that Awin can leverage the data it has access to across the group and build out reporting to ensure we are able to make better commercial decisions and provide best-in-class campaign management to support…
Data Engineering & Pipelines Build and maintain ETL/ELT pipelines using Databricks, PySpark, Spark SQL, and Delta Lake. Develop production ready notebooks, workflows, and data lake integrations.
Required Bachelor’s degree in Computer Science , Data Engineering , or related field. Hands‑on experience with Databricks (PySpark, Spark SQL, Delta Lake, Lakebase), PostgresSQL. Background working with large, distributed datasets.
Data sits at the heart of the company. This role is to ensure that Awin can leverage the data it has access to across the group and build out reporting to ensure we are able to make better commercial decisions and provide best-in-class campaign management to support client-facing departments.
As a Data Engineer, your role focuses on designing, building, and optimizing scalable data pipelines, curated datasets, and analytical data models within Azure, AWS, and Databricks environments. The position involves working with largescale datasets, improving performance and reliability, and translating business logic into well-structured tables, metrics, and transformation rules. The role also supports analytics teams through the delivery of high-quality, well documented datasets and ensures strong operational monitoring, data quality, and engineering best practices.
Responsibilities
~1 min readData Engineering & Pipelines
- →Build and maintain ETL/ELT pipelines using Databricks, PySpark, Spark SQL, and Delta Lake.
- →Develop production ready notebooks, workflows, and data lake integrations.
- →Apply best practices for Spark optimization (partitioning, caching, avoiding shuffle, file compaction).
Dataset Modeling & Business Logic
- →Design curated datasets, semantic layers, and data marts that power analytics and reporting.
- →Partner with business stakeholders to understand requirements, operational challenges and decision-making needs, ensuring alignment between business expectations and technical constraints.
- →Convert business requirements into data models, defining tables, metrics, KPIs, and transformation rules.
- →Work closely with product owners and analysts to align datasets with business processes.
- →Document data models, lineage, logic, and dataset behaviour clearly and consistently.
Performance, Monitoring & Reliability
- →Work with very large datasets, optimizing transformations and storage for scale and cost.
- →Tune and maintain PostgreSQL databases (indexes, running processes, performance diagnostics).
- →Implement robust data validation, schema enforcement, and quality checks across pipelines.
Teamwork & Delivery
- →Collaborate with engineers, analysts, and business stakeholders to deliver reliable data solutions.
- →Communicate effectively with both technical and non‑technical audiences.
Requirements
~1 min read- Bachelor’s degree in Computer Science, Data Engineering, or related field.
- Hands‑on experience with Databricks (PySpark, Spark SQL, Delta Lake, Lakebase), PostgresSQL.
- Background working with large, distributed datasets.
- Proficiency in Python, PySpark and SQL.
- Experience with data modeling, curated datasets, semantic layers, and medallion architecture.
- Experience with AWS (in particular Lambda, CloudWatch, and Step Functions).
- Competence in using Datadog or similar observability/monitoring platforms.
- Strong debugging, problem solving, and communication skills.
- Comfortable operating in Agile environments.
- Strong commitment to thorough documentation.
Nice to Have
~2 min read- Experience with Power BI, Tableau, or Luzmo.
- Understanding of CI/CD practices for data pipelines.
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Flexi-Week: We prioritise your mental health and wellbeing by offering you a four-day Flexi-Week (with one lighter or completely disconnected day per week) at full pay, with no reduction to your annual holiday allowance.
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Flexi-Office: We offer an international culture and flexibility through our hybrid working model, designed to foster collaboration, trust, and autonomy.
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Work Expense Contribution & Remote Working Furniture: You will receive a monthly allowance to cover part of your running costs, as well as a furniture package to support you in setting up a comfortable workspace at home.
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Private Medical Insurance: Comprehensive coverage for a range of health, vision and dental treatments.
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Meal Vouchers: Daily support for your lunch expenses.
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Screen Working Glasses: We offer a subsidy towards the cost of glasses required for screen work.
Established in 2000, Awin is proud of our dynamic, social and inclusive culture.
Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.
Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.
Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why
Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.
Location & Eligibility
Listing Details
- Posted
- May 5, 2026
- First seen
- May 5, 2026
- Last seen
- July 24, 2026
Posting Health
- Days active
- 79
- Repost count
- 1
- Trust Level
- 22%
- Scored at
- July 23, 2026
Signal breakdown
Please let Awin know you found this job on Jobera.
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