Vacant job

SEKROND AB provides services in the form of Technology Consulting and Outsourcing, Management Consulting, Product Development, and other similar activities within the ICT, Telecommunications, Financial, Renewable/Non-renewable Energy sectors, as well as Sales, Marketing, and Maintenance of ICT software and hardware for clients.

We are hiring energetic and solution-driven candidates for the following positions:

• Data Scientists/Data Engineers
• Data Architects/Designers

Qualifications and Expertise Desired

Data Scientists/Data Engineers

• Bachelor’s or Master’s Degree in IT, EE, Computer Science, Software Engineering, or relevant education/work experience.
• Good communication skills in English.
• Team player.
• DevSecOps expertise on any of the Cloud-based Platforms (Microsoft Azure, AWS, Google Cloud).
• Hands-on experience with DevSecOps, data modeling tools, Big Data Engineering/analytics tools and technologies (Python Libraries, GCP Vertex AI, BigQuery, GCS, Cloud Composer/Apache Airflow, DataFlow/Apache Beam, Apache Flink, Kafka, Azure Databricks, Apache Spark, Microsoft Azure ML, AWS SageMaker, Katib, Kserve, Polly, Speech Services, Jupyter Notebooks, Seldon Core, Git, etc.).
• Working knowledge of deep learning architectures for computer vision, NLP, GenAI/LLMOps (instruct tuning, SFT, RLHF) and AI frameworks and Libraries (Hugging Face, LangChain, Scikit-Learn, TensorFlow, CNTK, XGBoost, Lamini, Chainlit, etc.).
• Experience with Prompt Engineering, RAG, Fine-Tuning, and developing/maintaining CI/CD pipelines for application deployment.
• Working knowledge of at least one Business Intelligence tool and visualization frameworks (Kinesis, Stream Analytics, Elastic Search, PowerBI, Tableau, QuickSight, etc.).
• Proficient in data Observability stack (ELK, Grafana, OpenTelemetry, Prometheus, etc.).
• Linux/UNIX operating system competence. Working knowledge in other Software Development environments is also desired.
• Working knowledge of data modeling, data Warehouse methodologies (Kimball, Inmon, and Data Vault methodologies) and data architectures.
• Working knowledge of Kubernetes-based platforms.
• Working knowledge of Cybersecurity Best Practices and AI governance best practices.
• Working knowledge of SQL, NoSQL, and Vector Databases (SQL Server, CosmosDB, DynamoDB, LlamaIndex, MongoDB, Cassandra, Milvus, Redis, etc.).
• Working knowledge of Event-Driven technologies e.g., Kafka, MQTT, RabbitMQ, Pub/Sub, etc.
• Working knowledge of ITILv3 lifecycle methodology, Agile Software Development processes, AI regulatory frameworks (e.g., EU AI Act), and verification frameworks (VerifyML, FairLearn, etc.).
• Scripting expertise: Python, R, Bash, PowerShell, etc.
• Software Development background in at least 2 of the following programming languages: Java, C/C++, .NET, C#, GoLang.
• Working knowledge of workload scheduling applications like Slurm, PBS, or IBM Spectrum LFS will be an added advantage.

Data Architects/Designers

• Bachelor’s or Master’s Degree in IT, EE, Computer Science, Software Engineering, or relevant education/work experience.
• Good communication skills in English.
• Team player.
• DevSecOps expertise on any of the Cloud-based Platforms (Microsoft Azure, AWS, Google Cloud).
• Hands-on experience with DevSecOps, data modeling tools, Big Data Engineering/analytics tools and technologies (Python Libraries, GCP Vertex AI, BigQuery, GCS, Cloud Composer/Apache Airflow, DataFlow/Apache Beam, Apache Flink, Kafka, Azure Databricks, Apache Spark, Microsoft Azure ML, AWS SageMaker, Katib, Kserve, Polly, Speech Services, Jupyter Notebooks, Seldon Core, Git, etc.).
• Competent in at least one Big Data platform and related Analytics and processing services (RedShift, Synapse Analytics, Data Explorer, EMR, HDInsight, Data Lake, Data Pipeline, etc.).
• Proficient in data Observability stack (ELK, Grafana, OpenTelemetry, Prometheus, etc.).
• Working knowledge of Kubernetes-based platforms (OpenShift, MiniKube, Kubeflow).
• Competence in data management, data analysis, and integration services (SSAS, SSIS, SSRS).
• Working knowledge of at least one Business Intelligence tool and visualization frameworks (Kinesis, Stream Analytics, Elastic Search, PowerBI, Tableau, QuickSight, etc.).
• Working knowledge of data modeling, data Warehouse methodologies (Kimball, Inmon, and Data Vault methodologies) and data architectures.
• Working knowledge of Cybersecurity Best Practices.
• Working knowledge of SQL, NoSQL, and Vector Databases (SQL Server, CosmosDB, DynamoDB, LlamaIndex, MongoDB, Cassandra, Milvus, Redis, etc.).
• Linux/UNIX operating system. Working knowledge in other Software Development environments such as Android, iOS is also desired.
• Working knowledge of ITILv3 lifecycle methodology, Agile Software Development processes, and AI regulatory (EU AI Act) and verification frameworks (VerifyML, FairLearn, etc.).
• Working knowledge of ICT and Automotive Standards and Frameworks such as 3GPP, ISO27001, ISO26262 is desired but not mandatory.
• Scripting expertise: Python, Perl, Bash, PowerShell, etc.
• Software Development background in Java, C/C++, GoLang will be an added advantage.

Kindly send your resumes to [email protected]. Only applications sent to this mailbox will be reviewed.

Kindly quote SEKROICT2026-Data2 as reference in the applications.

Open to All We focus on your competence, not your other prerequisites. We are open to adapting the role or workplace to your needs.