Data Engineer AWS, Python & Data Pipelines - 206022
This listing is for a Data Engineer AWS, Python & Data Pipelines - 206022 role at Veritaz AB, in Malmö, Sweden. It is listed as a full-time position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
This listing is for a Data Engineer AWS, Python & Data Pipelines - 206022 role at Veritaz AB, in Malmö, Sweden. It is listed as a full-time position.
Reading the advert, the employer asks for English language skills.
Skills and tools named in the text include Python, SQL, Kafka, Spark, dbt, Airflow, AWS and Kubernetes.
No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.
The advert does not mention visa sponsorship. If you would move to Sweden for this job, check the official work permit route first (DGJ Insight lists it where we have it).
Dev Global Jobs found this job on Arbetsförmedlingen (JobTech) on Nov 3, 2026; applications close on Dec 3, 2026.
- Employer
- Veritaz AB
- Location
- Malmö, Sweden
- Job type
- Full-time
- Pay
- Not stated by the employer
- Languages asked
- English
- Found
- Nov 3, 2026 on Arbetsförmedlingen (JobTech)
- Closes
- Dec 3, 2026
- Employer text
- 381 words, about 2 min to read
- Apply only on the official page (veritaz.se). Dev Global Jobs is not the employer and never asks for a fee.
- Mirror the skills the advert names (Python, SQL, Kafka and Spark) in your CV where you really have them; applicant tracking systems look for these words.
- Say your level in English plainly (for example B2 or C1).
- Plan to apply before Dec 3, 2026.
- Read the employer’s full text below (about 2 min) before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
UN living-cost index for Sweden (ICSC post adjustment 37.6), as of 1 Oct 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- Work permit: Job offer with terms equal to Swedish collective agreements; new salary threshold
- EU Blue Card: Degree and salary threshold
- Job seeker permit for highly qualified: Advanced degree, up to 9 months
Official routes: Swedish Migration Agency
About the role
Full text from the employer, as published on Arbetsförmedlingen (JobTech), arranged into sections. Nothing added or removed.
Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.
01Assignment Description
We are looking for a Data Engineer to design, build, test, deploy and operate secure and reliable data pipelines and engineering services on AWS.
This is a hands-on software and data engineering role focused on production code, cloud infrastructure, automation and service reliability, not data analysis or dashboard development.
You will work within a cross-functional engineering team, building data ingestion, processing and integration services that support business applications, credit operations, reporting and AI workloads.
02What You Will Work On
- Build and maintain production data pipelines using Python, Spark, APIs and Kafka.
- Develop batch and streaming data ingestion services and reusable components.
- Handle schema changes, incremental loads, failures, retries and data reprocessing.
- Provision and configure AWS infrastructure using Terraform, including S3, IAM and EKS-related workloads.
- Implement automated testing, CI/CD, data validation and reconciliation checks.
- Monitor production pipelines, investigate incidents and improve service reliability.
- Maintain alerts, runbooks and recovery procedures.
- Apply security controls such as least-privilege access, encryption and secrets management.
- Optimise pipeline performance, resource usage and cloud costs.
- Document technical solutions, interfaces, dependencies and data lineage.
- Use approved AI-assisted engineering tools responsibly.
03What You Bring
- Demonstrated experience building, deploying and supporting production data pipelines or data-platform services.
- Practical experience with Python and AWS.
- Strong software engineering skills, including Git, code reviews, automated testing and CI/CD.
- Experience with Spark, Kafka and API-based data ingestion.
- Knowledge of AWS services, including S3, IAM, encryption, logging and networking.
- Experience with Terraform and infrastructure automation.
- Understanding of Kubernetes/EKS and containerised workloads where required.
- Experience with Airflow orchestration and production monitoring.
- Good knowledge of SQL, data schemas, file formats and technical data models.
- Understanding of data quality, observability, recovery and performance optimisation.
- Fluent English and strong technical communication skills.
- Degree in Computer Science, Engineering or a related discipline, or equivalent practical experience.
04Meritorious
- Banking and financial data experience.
- Relevant AWS certifications.
- Experience with legacy data migrations.
- Experience with dbt.
- Experience with large-scale batch and streaming data platforms.
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