Data Architects and Scientists -2026
SEKROND ABSammanfattning
SEKROND AB is seeking candidates for roles in data science and architecture, focusing on technology consulting and outsourcing in various sectors including ICT and energy. The positions require expertise in cloud platforms, data engineering, and analytics tools, with a strong emphasis on DevSecOps practices. Applicants should have relevant degrees and experience in data modeling, AI frameworks, and software development. The roles are open to all qualified candidates, with flexibility in adaptingJobbet i korthet
Anställningstyp
tillsvidareanstallning
Arbetstid
heltid
Förmåner
Open to adapting roles and workplaces based on individual needs.
Ansök senast: 2026-07-16
Publicerad: 2026-06-16
Beskrivning
SEKROND AB provides services in the form of Technology Consulting and Outsourcing, Management Consulting, Product development and other similar activities in ICT, Telecommunications, Financial, Renewable/Non-renewable Energy spheres as well as Sales, marketing and maintenance of ICT software and hardware to 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 or Master Degree in IT, EE, Computer Science, Software Engineering or relevant education or work experience.
Good communication skills in English.
Team player.
DevSecOps expertise in any of the Cloud-based Platforms (Microsoft Azure, AWS, Google Cloud)
Hands-on experience with DevSecOps,data modelling 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 in developing and 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 are also desired.
Working knowledge of data modelling,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, CosmoDB,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 or PBS or IBM Spectrum LFS will be an added advantage.
Data Architects/Designers
Bachelor or Master Degree in IT, EE, Computer Science, Software Engineering or relevant education or work experience.
Good communication skills in English.
Team player.
DevSecOps expertise in any of the Cloud-based Platforms (Microsoft Azure, AWS, Google Cloud)
Hands-on experience with DevSecOps,data modelling 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)
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 modelling,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, CosmoDB,DynamoDB,LlamaIndex, MongoDB, Cassandra, Milvus, Redis, etc).
Linux/UNIX operating System. Working knowledge in other Software Development environments such as Android,iOS are 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 info@sekrond.com. Only applications sent to the mailbox will be reviewed.
Kindly quote SEKROICT2026-Data2 as reference in the applications.
Öppen för alla
Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.
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 or Master Degree in IT, EE, Computer Science, Software Engineering or relevant education or work experience.
Good communication skills in English.
Team player.
DevSecOps expertise in any of the Cloud-based Platforms (Microsoft Azure, AWS, Google Cloud)
Hands-on experience with DevSecOps,data modelling 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 in developing and 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 are also desired.
Working knowledge of data modelling,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, CosmoDB,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 or PBS or IBM Spectrum LFS will be an added advantage.
Data Architects/Designers
Bachelor or Master Degree in IT, EE, Computer Science, Software Engineering or relevant education or work experience.
Good communication skills in English.
Team player.
DevSecOps expertise in any of the Cloud-based Platforms (Microsoft Azure, AWS, Google Cloud)
Hands-on experience with DevSecOps,data modelling 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)
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 modelling,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, CosmoDB,DynamoDB,LlamaIndex, MongoDB, Cassandra, Milvus, Redis, etc).
Linux/UNIX operating System. Working knowledge in other Software Development environments such as Android,iOS are 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 info@sekrond.com. Only applications sent to the mailbox will be reviewed.
Kindly quote SEKROICT2026-Data2 as reference in the applications.
Öppen för alla
Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.
Ansök till tjänsten
Data Architects and Scientists -2026
OM FÖRETAGET
SEKROND AB
